Special Cases

05
2021.12
【2021 Application Example】 HRT Technology Improves Production Efficiency by 20% Through AOI Detection of Defects in VCSEL Packaging

In 2017, the launch of the iPhone X made 3D sensor technology used in Face ID highly popular, which drove the development of VCSEL, a core component in the 3D sensor module In the detection of defects in incoming packaged VCSEL, the use of AI inference models can solve the industry's issue with low yield and improve reliability to 95 VCSEL technology currently can be used in many applications and various end consumer markets, including robots, mobile devices, surveillance, drones, and ARVR VCSELs are a good solution in applications that require high-speed modulation capabilities, such as cameras and biometrics VCSEL technology has a wide range ofnbsp applications, including in drones Pictured Zoyi Technology's Agricultural Drone VCSEL technology has a wide range of applications, AI technology assists in defect detection HRT Technology stated that the packaged VCSEL market is also facing strong price competition from competitors, and needs to further reduce costs and enhance product competitiveness One of the key problems is the replacement of glass lens with epoxy resin lens The production of traditional glass lenses has high yield, but the cost is higher than that of epoxy resin lenses Due to the cutting process of epoxy resin, the side wall of cutting lines can easily have rough edges, causing it to be oversized The release of stress caused by heat during the mounting process will directly cause the optical lens to break HRT Technology pointed out that the incoming inspection of VCSEL epoxy resin lenses is very important Under the constraints of packaging space, the space for fitting the package and optical lens is limited Moreover, the optical lenses will be confined to a metal frame If the dimensional tolerances are properly controlled, stress release due to heat during mounting can easily cause the optical lens to break, resulting in a yield loss of up to 10 in the VCSEL package reliability verification, resulting in an increase in production costs In order to solve the problems above, HRT Technology hopes to use AI to monitor the size and appearance defects of epoxy resin components in the VCSEL epoxy resin lens incoming stage, verifying whether their dimensions meet specifications, whether the cutting edges are smooth, and whether there are any defects in their appearance Since traditional incoming material inspection requires a rough visual inspection by humans to distinguish the quality The problem of image collection needs to be solved first to successfully collect image data Therefore, HRT Technology first developed an Automated Optical Inspection AOI device, which includes X, Y, Z three-axis motion, high-resolution cameras, and related control software to automatically record images After collecting the image data, opencv aligns the test image and a normal image to determine differences between the two images, and then pixel mapping is used to compare the pixel area to complete initial screening Manual labeling is carried out according to the image classification above, including samples that are normal, have defects in appearance, or have different shape characteristics, and then algorithm training and verification is carried out Residual neural network ResNet or other related algorithms are used for deep learning to identify the quality of lenses Implementation of AOI inspection improves production efficiency by 20 and above Comparing the differences before and after the implementation of AI image inspection, the incoming VCSEL lens inspection before implementation only involved manual inspection of the appearance The lens is packaged on the VCSEL package that has completed die bonding After passing the general light up test, the final reliability test high temperature reflow is performed Failed samples go into the rework process However, after the implementation of AOI inspection, it can screen defective lenses sooner and reduce the cost of subsequent materials input, it can also reduce the need for rework due to failure, improving yield to 95 and above in the reliability verification This is expected to help companies reduce production costs by 10 and increase production efficiency by 20 and above The difference before and after implementing AI image detection HRT Technology pointed out that this technology is an AI application developed based on tiny images It uses deep learning algorithms to identify defects in the images The trained network automatically classifies image data to predetermined categories Defect categories can be determined through reference images, so cumbersome programming is not required In the industrial machine vision environment, deep learning is mainly used for classification tasks in applications, such as inspection of industrial products or identification of parts In the future, with the development of IoT wearable devices and the trend of energy saving, the size of optoelectronic components will continue to shrink This technology can be applied to the detection of defects in the appearance of other tiny optoelectronic components in the future

2021-12-05
【2021 Application Example】 Fongyu Uses AI Knowledge-based Fish Farming to Effectively Increase Aquatic Production by 10%

Fisheries is an important industry in an island economy However, the fish farming industry has faced severe challenges in recent years, including climate change, labor shortage, and rising costs In particular, nearly 110,000 workers in agriculture will retire due to old age over the next 10 years For this reason, the need for aquaculture to move towards smart farming is becoming increasingly urgent Founded in 2014, Fongyu Corp Ltd has developed a unique eco-friendly farming model based on its own fish farming It uses AI knowledge-based fish farming to effectively increase aquatic product production by 10, and reduced labor cost by 15 The word "Fongyu" has a profound meaning "Fong" represents good mountains and "Yu" represents good water, and is the hope that companies will allow Taiwan to always have good mountains and good waterIt is also a homophone for "having a full figure," expressing the hope that products will give consumers a full and healthy body and mind The founder of the company, Liu Chien-Shen, has been through the difficult entrepreneurial journey of becoming an apprentice in fish farming, raising funds, renting fish farms, establishing a fish farming company, building a brand, and expanding sales Labor shortage and aging workers are hidden worries in the fish farming industry Currently, fish farms in Taiwan are still mainly traditional fish farms, and farming techniques are still passed down through word-of-mouth In addition, the labor shortage and average age of workers exceeding 60 years old has made it impossible to effectively stably improve productivity and yield This farming method makes it difficult to prevent and control diseases, and greatly increases the possibility of excessive use of drugs, environmental pollution, and water quality and ecological damage, creating a vicious cycle that lowers the quality of fish farming In addition, 651 of workers in Taiwan's fish farming industry are inadequately skilled With limited support from IoT sensors, traditional fish farmers still mainly rely on their own experience and knowledge for water quality management, feeding, and disease detection Fish farming management relies heavily on the ability of individual fishermen Once experienced workers retire, the industry will not only face the issue of succession, but also the difficult of stably supplying a certain amount of harvest that meets quality standards This may cause a dilemma for the entire industry from fish farming to sales In order to improve the pain point of inability to pass on experience in fish farming, and at the same time create a "digital" foundation for fish farming, the top priority must be to collect farming behavior data and develop AI services as an important starting point Fishery digital twin technology helps fishermen transition to smart farming With the assistance of the Institute for Information Technology III, Fongyu implemented the "fishery digital twin" technology to dynamically adjust the farming schedule In other words, the fish farming schedule is adjusted according to the species, habits, and variables of the fish The use of AI in fish farming not only effectively increase aquatic production by 10, but also reduced labor cost by 15 In terms of specific methods, we first digitalized the fish ponds, feed, and decision-making behavior for each species, such as sea bass and Taiwan tilapia, and recorded the seasonal temperature changes from releasing seedlings to harvesting, all of which were digitalized, gradually recording the experience and methods of experienced workers into a rich database Based on the recorded data, we analyzed the compound variables to find the best farming behavior and generate a dynamic farming schedule The records for each pool provide data on workers' experience However, fish farming behavior generally relies on rules of thumb Even experienced fish farmers cannot ensure that they will find the best solution Therefore, new methods are proposed to solve this issue That is, "to determine the best fish farming behavior by predicting the interaction with water quality and past data on feeding, and evaluating fish farming behavior based on water quality and fish farming," and provide fishermen with the most intuitive recommendations through daily schedules To continue optimizing the dynamic fish farming calendar on a rolling basis, iterations of the model will be developed through the three-step cycle 1 Input the current fish farming calendar into the model 2 The model predicts the future environment 3 Shortcomings of the fish farming calendar are corrected based on the future environment to obtain a new version of the fish farming calendar In the process, the experience of aquaculture experts is used to establish the causal relationship between fish farming behavior and the environment The establishment of a dynamic fish farming process and technology-based fish farming recommendation services provide a traceable and detailed fish farming process It is one of the few technologies that can digitalize fish farming Fishermen can quickly and easily record their daily behaviors to build knowledge without taking up too much time, but in the long run it can reduce labor cost by 15 and increase output and revenue by an average of 10 Smart fish farming has achieved outstanding results, reducing labor cost by 15 and increasing output by 10 At the same time, the fish farming calendar can also be extended to different aquatic species, such as white shrimp, milkfish, clams, and Taiwan tilapia, to produce fish farming schedules for ponds with different specifications, and the harvested aquatic species can be traced according to different specifications, establishing vertically integrated services for safe food products Fongyu's main products are divided into two categories One is aquaculture modules, including fry, feed, materials and probiotics, production planning and processes, and monitoring, which can be sold separately or exported as modules The high-quality aquatic products produced by Fongyu have repeatedly won awards Figure Fongyursquos official website The other category is high-quality aquatic products, including seabass fillets, seabass balls, oil-free seabass balls, seabass dumplings, and seabass soup The products have won various awards, including the top ten souvenirs in Pingtung in 2017, "Barramundi Fillet" won the 2017 Eatender of the Council of Agriculture COA, "Oil-Free Barramundi Fillet" won the 2018 Eatender Gold Food Award of the COA, and "Dumplings of Barramundi" and "Barramundi Broth" won the 2019 Eatender of the COA The consecutive awards represent that the "quality" of Fongyursquos aquatic products can be seen and eaten with peace of mind In addition, Fongyu has exclusive fingerlings that meet international needs, such as Pure seawater cultured tilapia fingerlings and seawater Taiwan tilapia fingerlings from selective breeding FY-01 are items that aquaculture companies in many countries are looking forward to The company also has aquaculture modules, disease monitoring tools, and feeding materials designed in accordance with the environment, in order to provide customers with more stable income

2021-09-28
【2021 Application Example】 AI Analysis Cloud Service Platform for Remote Sensing Big Data Enables the Smooth Application of Satellite Remote Sensing Images

Although satellite remote sensing images can make all surface objects visible, it still requires a lot of time and manpower to be truly applied to the industry In order to effectively solve the problems that customers face in digesting huge amounts of image data and eliminate technical obstacles for cross-domain users to process satellite remote sensing images, ThinkTron has developed an "AI Analysis Cloud Service Platform for Remote Sensing Big Data" as a new beginning for cross-domain AI applications for spatial information In recent years, in response to the impact of industrial globalization, Taiwan's agriculture has continued to transition towards technology-based and higher quality, improving the yield and quality of crops by solving problems, such as microclimate impacts and pest and disease control The demand of agriculture on images has expanded endlessly to accurately grasp the growing environment of crops In the early years when UAVs unmanned aerial vehicles were not yet popular, manual field surveys were the most basic but most labor-intensive work With the emergence of UAV drones, aerial photography operations might not be difficult, but the range that can be photographed is limited Furthermore, surveying expertise is required to accurately capture spatial information At this time, the use of satellite remote sensing data may break away from the past imagination of using image data Taiwan Space Agency TASA ODC data warehouse services In the past ten years, with the breakthrough of modern satellite remote sensing application technology, Digital Earth has become a new trend in global data collection Countries have developed data cube image storage technology, and the development of smart agriculture has become one of the largest image users Determining planting distribution is the first step in understanding crop yields Free satellite remote sensing images, powerful data warehousing support, and the team's robust image recognition technology are important supports for accelerating agricultural transformation Using satellite remote sensing image data can accelerate the development of smart agriculture However, in the past, it was difficult to extract large-area crop distribution through satellite remote sensing images, not to mention the cost If you wanted to use free information, you had to visit all websites of international space agencies, look through the wide variety of satellite specifications, and carefully evaluate the sensor specifications, image resolution, and revisit cycle After finding suitable images, you had to look at them one by one to filter the ones you need Next is downloading dozens of images that are often several hundreds of Megabytes MB each, which might exceed the capacity of your computer Also, after overcoming image access and preparing data, you must then start to confirm the downloaded image products and which bands you want, because the image you see is not just an image file jpg or png, but rather complex multi-spectral information, attribute fields and coordinate information It takes a lot of effort just to confirm the correct information Facing GIS software packages with complex functions is the start of another trouble The complex image pre-processing process and the inflexible machine learning package greatly reduce the efficiency of analyzing data After finally getting the results of crop identification, you might find that the best time for using map information may have already passed The above-mentioned complex and time-consuming satellite image processing problems are precisely the pain points of the market ThinkTron expanded from traditional machine learning to modern deep learning applications, and developed an "AI Analysis Cloud Service Platform for Remote Sensing Big Data" under the GeoAI framework, breaking through the constraints of details in the spatial information for customers Differences between the process before and after introducing the AI analysis cloud service platform ThinkTron said that Taiwan's ODC Open Data Cube system has been completed and began providing services after years of efforts from the Taiwan Space Agency TASA, formally becoming aligned with international trends The powerful warehousing technology allows users to easily capture and use image data of a specific time and spatial range according to their needs The warehouse stores multiple satellite image resources from international space agencies, including the ESA's Sentinel-1 one image every 6 days, Sentinel-2 one image every 6 days, USGS's Landsat-7 one image every 16 days, Landsat-8 one image every 16 days, and the domestic Formosat-2 one image every day and Formosat-5 one image every 2 days ThinkTron develops satellite image recognition tools based on Python Breaking free from the limitations of GIS Geographic Information System software packages, ThinkTron integrated GDAL Geospatial Data Abstraction Library based on Python, and considered computing efficiency and parallel processing when developing all tools required for satellite image processing and image recognition modeling, including coordinate system and data format conversion, grid and vector data interaction, and data intra-difference and normalization All of the tools are designed with AI applications in mind, and some commonly used tools are packaged into an open source package under the name TronGisPy to benefit the technical community ThinkTron utilized the team's understanding of satellite remote sensing images and the collected tagged data crop distribution maps to preset the image recognition modeling process, the required training data specifications, and dataset definitions This is imported into the machine learning LightGBM or deep learning CNN framework that was completed in advance, and the entire training process to be performed in the Web GIS interface, providing users with partial flexibility to freely filter images, confirm spatial and temporal ranges, select models, and adjust hyperparameters In addition to the operation of training models, it also provides historical models to output identification results, and finally displays the identification results of crop distribution on the Web GIS map In fact, agriculture is not the only industry that needs satellite remote sensing applications AI applications of spatial information have also appeared in various fields as companies in different industries aim to enhance their global competitiveness For example, surveying and mapping companies that have a large amount of map data can use the AI analysis cloud service platform to store map data while also accelerating the efficiency of digital mapping Under the severe global climate change and the risk of strong earthquakes, there is a wide variety industrial insurance, agricultural insurance, financial insurance, or disaster insurance are all inseparable from spatial information The use of remote sensing image recognition to understand insurance targets has long been an international trend AI Analysis Cloud Service Architecture for Remote Sensing Big Data

2021-11-28
【2021 Application Example】 AI Complements the Disruption of Traditional Industry Experience: Production Forecast Analysis in Plastic Recycling Process

As the number of veteran craftsmen in traditional industries diminishes In Taiwan, SMEs have always played a central role in Taiwan's industry, accompanying Taiwan through various 'economic miracles' periods But as time progresses, the old masters gradually became elderly craftsmen Coupled with the phenomenon of fewer children and changes in the overall industrial structure, fewer and fewer of the new generation are willing to enter traditional industries Now, it can be observed that the main combination on most SMEs' operational fields is formed by 'elder craftsmen' together with 'foreign workers' These experienced craftsmen, who act as living dictionaries of field experience, suffer from a lack of successors to continue the tradition, leading to a growing difficulty in sustaining on-site experience transfer in traditional industries The limits of traditional hands-on process optimization are in sight Located in Tainan Baoan Industrial District, 'Tangxian Company' was established in 1972, initially manufacturing high-quality weaving equipment It possesses the capability to manufacture machinery, and in recent years it has actively developed environmentally friendly plastic recycling equipment in response to international green energy, recycling, and environmental protection demands Ultimately, they have successfully developed low energy consumption, low waste, high purity, and high output recycling granulators with a sleek and efficient machine design supplemented by advanced intelligent control technology Tangxian Company's self-developed plastic recycling granulator equipment However, in the production process of plastic recycling, when faced with hundreds of material types and dozens of process temperatures, speed settings, what is faced is thousands of possible parameter combinations Previously, the adjustment of various production process conditions was reliant on the on-site staff the experience of the craftsmen Thus, during the transition of production of different incoming materials such as PET, PP, PE, a significant amount of raw materials would be wasted during the trial phase The professional information gap in traditional industries Tangxian Company recognizes the importance of data In the past, although process parameters were recorded, due to a lack of data capabilities at the time, it was primarily in paper form, manually written down by the operating staff, accumulating a large amount of paper data However, this also meant a lack of scientifically accurate and detailed information available for real-time reference and adjustment Process parameters logbook, records the state of about a dozen machines and production figures hourly In quality control as well, due to a lack of control over the quality of output and monitoring and feedback mechanisms for unit time production, it becomes difficult to predict the profit conditions of each batch Production management can only estimate and average cost and productivity changes over the process from the outcomes, without being able to objectively and timely restore the production conditions to reasonableness or make clearer adjustments when facing quality abnormalities Site reality left image shows recycled scraps right image shows pellet production Taiwanese manufacturers possess strong machinery manufacturing capabilities, and many modern machines now have data capabilities, recording real-time status and information via IoT But is the infrastructure of the factory's on-site and information systems ready yet When the Old Master Meets AI With government referral, Tangxian Company partnered with a Taiwanese data science company, working together to integrate AI services and optimize internal processes using AI They started with a medium-sized plastic recycling production line within the factory as a trial field After establishing a successful benchmark, this model was expanded to larger plastic recycling machinery within the factory to continue verification and application Initially, both parties converted the past handwritten paper data into digital format using OCR supplemented by manual correction Tangxian Company also worked with the supplier of the human-machine interface of the machinery to integrate the control panel and parameter data into the factory's database, allowing real-time monitoring of machine status and eliminating the complexities and potential errors of manual transcription Panel of plastic recycling granulation machine, showing current process temperatures, speeds, and power usage Meanwhile, the Taiwanese data science company further modeled dozens of parameter data through AI, conducting scenario analysis to simulate various production possibilities under environmental parameters and material inputs, identifying key characteristic parameters and providing parameter adjustment recommendations to decrease costs during the trial phase Applying data analysis to traditional industry machinery processes After the old master receives the raw materials, they only need to enter the relevant material characteristic parameters, and the system automatically generates recommended process parameters After small adjustments by the old master, they proceed with the trial production of the material, effectively reducing the waste of materials, water, electricity, and manpower caused by incorrect attempts Moreover, Tangxian Company has proactively deployed the concept of 'production pedigree' in the plastic recycling process, allowing the batch's raw materials and process parameters to be accessed by scanning a QRCode Production and sales pedigree of plastic recycling pelletizing Taiwan's SMEs have strong machinery capabilities, just waiting for the 'east wind' of data From industrial revolutions 20 to 30, even 40, many Taiwanese SMEs face challenges in transitions not just in upgrading machinery, but after investing in modern equipment and generating data, they do not know how to utilize it effectively It is impractical for these manufacturers to develop a specialized data analysis department on their own meanwhile, Taiwan also has many innovative teams with strong software capabilities in AI and data analysis, possessing the technology but lacking the field and data Therefore, if the traditional industries of Taiwan could be fully integrated with the innovative teams in AI and data analysis, it would not only address the current challenges of manpower and experience transfer faced by traditional industries but also advance Taiwan's development and application of AI significantly「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-01-21

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【2023#09】Hybrid AI Applied in Customized Diverse Product Development

Industry Manufacturing CCategory Machinery Equipment Manufacturing 29Sub-category Industry Pain Points High system complexity Fluid transmission systems often comprise multiple components and equipment, and the design, installation, and maintenance involve complex control and coordination System reliability needs improvement There is a need to enhance the reliability of fluid transmission systems to manage the failures and damages of components Inadequate fault detection and prevention Failures in fluid transmission systems can lead to production halts and losses, necessitating mechanisms for fault detection and prevention Performance needs optimization The design of fluid transmission systems may suffer from poor performance, necessitating optimization and improvement to enhance system efficiency and performance High cost and low energy efficiency Improving the energy efficiency and reducing operational costs of fluid transmission systems is a critical issue Environmental friendliness The fluid transmission industry may produce noise, pollution, and waste, requiring the development of environmentally friendly solutions to reduce environmental impact If focusing on the 'Design Drawings' category, related industry pain points or issues to be addressed may include Design accuracy The accuracy of design drawings is crucial to the performance and reliability of fluid transmission systems, and any mistakes or defects can lead to system failures or poor performance Design efficiency The production of design drawings typically requires a substantial amount of time and human resources Manual drawing methods can be prone to errors and redundant work, and are difficult to modify and update Design optimization At the design drawing stage, optimizing the performance, efficiency, and cost of fluid transmission systems is a key goal However, design methods might be limited by experience and intuition, making it challenging to find the optimal design solutions Therefore, developing methods and tools that can automatically optimize designs is an important requirement資料交換和標準化:流體傳動系統的設計涉及多個設計圖面和文件的交換。確保資料的準確性和一致性,以及制定統一的標準化格式,是一個重要的議題。 Automated design The design process might include human errors, necessitating the introduction of automated design tools and methods to enhance design accuracy and performance Intelligent design Using AI technology to develop intelligent design systems that can automatically generate design solutions and optimize design parameters based on requirements System complexity, collaborative design, and collaborative tools The design drawings of fluid transmission systems may involve collaboration across multiple teams and professional domains, becoming extremely complex extensive components, piping, and control systems, etc Therefore, developing tools and platforms with collaborative design and collaboration capabilities to facilitate information sharing and collaboration is an important requirement Benefits of Implementing AI Improved production efficiency Artificial intelligence can automate the design and production processes, reducing human and time costs, and enhancing production efficiency Predictive maintenance Artificial intelligence can provide predictive maintenance, reducing downtime and maintenance costs Smart monitoring Artificial intelligence can instantly detect and adjust system parameters, enhancing operational efficiency Optimized designs Artificial intelligence can analyze vast amounts of data to assist designers in optimizing product designs and improving efficiency Enhanced design accuracy Artificial intelligence can detect and correct design errors, enhancing the accuracy of design drawings and reducing errors and costs in subsequent work Standardization and consistency Artificial intelligence can ensure the consistency and compatibility of design drawings, reducing design conflicts and redundant work Improved design efficiency Artificial intelligence can automatically generate design drawings, fostering design inspiration and efficiency among designers Promoting design innovation Artificial intelligence technologies can analyze copious design data and models, offering new design ideas and innovative solutions, driving innovation and improvements in design drawings Common AI Technologies or Applications Random Forest Artificial intelligence, such as the Random Forest algorithm, analyzes various parameters during the production process, such as temperature and pressure, and predicts their impact on final product quality, enhancing production efficiency and product quality Convolutional Neural Networks Artificial intelligence, such as convolutional neural networks, processes complex imagery and spatial data By analyzing and identifying image data, it helps quickly find similar solutions, optimize designs, and identify defects 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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【2023#03】Smart High Jersey AI System

Industry Manufacturing C category Clothing and apparel manufacturing industry 12Medium category Industrial Pain Points DataAccuracy Ensure that the data collected from the smart golf shirt is accurate and reliable, including hitting power, hitting angle, posture, etc, to provide accurate data analysis and evaluation DataProtection and privacy Ensure that the data collected using smart golf clothes is properly protected to prevent data leakage or improper use, while protecting the user's personal privacy rights Adaptability and personalization How to design smart golf jerseys based on the characteristics and needs of different athletes to provide personalized data analysis and guidance to help athletes improve their skills and performance Wearing comfort How to design and manufacture smart golf clothing with high comfort so that athletes feel comfortable during exercise without being interfered by the clothing itself Battery life and charging technology Ensure that the battery life of smart golf clothes is long enough to support long-term use, while developing efficient charging technology to reduce charging time and improve usage efficiency Product price and popularity How to reduce the production cost of smart golf clothing, make it more valuable and popular, so that more athletes can benefit from this technology Import AI benefits For athletes, the benefits include Skill improvement Artificial intelligence can analyze athletes' information, sports skills and performance, provide timely personalized guidance and training suggestions, help optimize training methods and techniques, and improve athletes' performance and results Injury prevention Artificial intelligence can analyze athletes' posture, force distribution and movement patterns, etc, and timely detect potential risk factors and signs of sports injuries, helping athletes and coaches to take preventive measures to reduce the risk of injuries risk, thereby saving on medical and rehabilitation costs and improving athlete endurance and competitiveness Data-driven decision-making Artificial intelligence can extract valuable information and patterns from a large amount of sports data, helping coaches and management teams formulate more precise strategies and tactics, and optimize game tactics and training plans At the same time, by understanding the opponent's weaknesses, you can improve your chances of winning the game and increase your chances of winning games and rewards Innovative business opportunities Artificial intelligence has created many new business opportunities and markets, such as the development of smart sports devices, virtual reality training systems, sports data analysis platforms, etc These products and services can attract athletes, coaches and sports enthusiasts attention of readers, bringing new income and business opportunities For non-athletes, benefits include Health promotion Artificial intelligence can provide personalized exercise suggestions and training plans, allowing people to exercise and exercise more effectively, helping to improve health status, enhance physical fitness, and reduce medical costs and health risks Improved fitness effects Artificial intelligence can analyze personal exercise data, health indicators and physiological status, provide timely feedback and adjustment suggestions, help achieve better exercise effects, improve exercise performance, and reduce unnecessary sports injuries and risks Through the guidance and monitoring of artificial intelligence, fitness goals can be achieved more effectively Fitness experience upgrade Artificial intelligence can be combined with virtual reality Virtual Reality, abbreviationVR, augmented reality Augmented Reality, abbreviated as AR and other technologies to provide richer and more interesting and interactive fitness experiences Health management and prevention Artificial intelligence combined with the Internet of Things can monitor physiological data, activity patterns and health status, provide personalized health management and prevention suggestions, and help early detection of health problems, management of chronic diseases, Prevent the occurrence of diseases, reduce medical expenses and improve the quality of life Common AI technologies or applications Support Vector Machine Use artificial intelligence such as support vector machine algorithms to extract key performance indicators from golf-related data, build accurate models, predict golfers' performance and potential risks, and provide personalized training suggestions , helping golfers achieve their best form in competition Convolutional neural network Convolutional neural network used in the field of computer vision Computer Vision can analyze the movements and postures of golfers Conduct action analysis and evaluation through pictures or video data, detect and record key indicators such as golfer's golf hitting posture, hitting speed, and hitting angle, and provide players with instant feedback and improvement suggestions Posture-related data can be ReferenceGoogle AI proposed in 2022PoseFormerModel Generative artificial intelligence Using artificial intelligence such as generating pre-trained converters, combined with natural language processing technology, it can parse and understand the voice and text communication content between golfers and coaches For example, golfers can use voice Ask questions about hitting skills, and the jersey system can recognize and understand these questions and provide corresponding answers or guidance, helping players and coaches communicate and convey training needs more effectively, and provide intelligent voice or text feedback and guide 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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【2023#04】AI Empowerment Plan for Golf Course Industry

Industry Category Information and Communication Industry JMajor Category Computer Systems Design Services 62Middle Category Industry Pain Points Membership recruitment and maintenance With the aging population and decline in birth rates, golf courses need to think about how to attract new target groups such as young people and women, explore new membership markets, and provide attractive and diversified membership benefits Operating costs and pressures Golf courses generally have high operating costs, including maintenance of the premises, facility investments, labor costs, etc How to effectively control costs and improve operating efficiency is a significant issue High market demand variability Younger generations might have different preferences and needs for leisure and entertainment than traditional golf, requiring the courses to think about how to promote their brand, market positioning, and product innovation to attract more players and customers Slow pace of technological innovation and digital transformation With advancements in technology, golf courses can explore opportunities for technological innovation and digital transformation, improving the golfing experience and service levels, attracting more young players Social responsibility and sustainable development Golf courses need to consider how to provide environmentally friendly facilities, save resources, reduce environmental impact, and actively participate in social responsibility activities to enhance corporate image and social recognition AI Benefits Implementation Enhance operational efficiency Artificial intelligence can automate and smarten some of the routine and tedious tasks in golf course operations, such as reservation management and equipment maintenance, freeing up staff from repetitive tasks to focus on providing higher value services Optimizing resource utilization Artificial intelligence can help precise management of resources, such as using data analysis and predictive models to optimize irrigation and fertilization plans for golf course lawns, ensuring effective resource use, reducing waste and costs Enhance customer experience Artificial intelligence can provide personalized service experiences, such as using smart golf tools and sensor technology to provide real-time guidance and advice on the course, helping golfers improve their skills Combined with ChatGPTtechnology, staff can use robots to answer golfers' questions, provide venue information, booking services, and golfing tips Such automated customer service can save labor costs and increase satisfaction Increase revenue opportunities Artificial intelligence can open new revenue opportunities for golf courses, such as by offering additional gaming experiences and entertainment activities through smart golf tools and virtual reality technology, attracting more golfers and visitors Also, AI can perform precise market positioning and promotion, enhancing the course's reputation and appeal Combined with ChatGPTit can provide multilingual services, making it easier for non-natives to communicate and interact with the course, enhancing their experience on the course Common AI Technologies or Applications Random Forest AI such as the Random Forest algorithm can analyze historical data, such as past foot traffic, weather conditions, special events, etc, to make forecasts about the course usage, booking demand, and customer flow K-meansClustering Clustering):使用人工智慧如K-meansAI techniques such as clustering algorithms can be used to identify different customer groups, usage patterns or preferences, helping course managers understand the behavioral characteristics of different customer segments, further optimizing resource distribution and service strategies Generative AI Using natural language processing technologies and AI dialogue generation services like ChatGPT), develop customer service robots to answer user questions, provide service guides, handle bookings and registrations, offering 247customer support, reducing human resource pressures, improving efficiency and accuracy, and offering better service quality Convolutional Neural Networks AI like convolutional neural networks can be used for image processing and object recognition, enhancing campus security, preventing theft and other security issues, and protecting users and campus assets 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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【2023#01】Advertising Copywriting Assistance and Compliance Correction Platform

Industry Publishing, Audiovisual and Information Communication Industry JMajor Category Information Services Industry 63Subcategory Industry Pain Points False Advertising Advertising copy must not contain false or misleading statements, including exaggerated promotions, false guarantees, and false endorsements Ad content should be objective and true, matching the actual situation Privacy Protection Advertising copy must comply with relevant privacy laws and personal data protection policies when using personal data, ensuring legal use and secure protection of user privacy Child Protection Advertising copy targeting children should avoid misleading content, excessive marketing, inappropriate material, or improper marketing techniques, ensuring the protection of children's rights and safety Specific Industry Regulations Different industries may have specific regulatory requirements, such as food, pharmaceuticals, and finance Advertising copy must adhere to these industry regulations and standards, including product promotion requirements, warning notices, and prohibited content Introduction to AI Benefits From a commercial value perspective, it helps enhance the precision, efficiency, and effectiveness of advertising, while saving time and resource costs Personalization and Precision Targeting AI technology can analyze large amounts of user data for personalized recommendations and targeting, aligning ad copy more closely with the interests, preferences, and needs of the target audience, thereby increasing click-through and conversion rates Automation and Efficiency Improvements AI can automate the generation and optimization of ad copy, reducing the time and costs associated with manual writing and testing, and can adjust and optimize in real-time based on actual data and feedback, making ad copy more effective and improving the efficiency and results of ad deployment Predictive and Optimized Effects AI can predict and analyze ad performance based on different variables and factors, providing optimization suggestions Thus, advertisers can use AI analysis to make strategic adjustments and enhancements, thus improving the effectiveness and returns of advertising From a compliance perspective, it assists advertisers in ensuring that ad deployment complies with legal requirements, reducing compliance risk while enhancing the effect and efficiency of the advertising Compliance Control and Risk Management AI can help advertisers better adhere to relevant laws and industry standards, such as privacy regulations and advertising codes AI can also automate monitoring of ad copy to ensure it meets legal requirements, avoiding issues such as false advertising and privacy violations, thereby reducing compliance risks Ad Review and Filtering AI can be used to automatically review ad copy, swiftly detecting non-compliant content or sensitive information, saving manpower and enhancing the efficiency of reviews, while protecting advertisers from legal risks associated with non-compliant ad deployments Monitoring and Tracking of Ad Performance AI can monitor and analyze the effects of ads to ensure compliance with regulations It can also track metrics like exposure, click-through rates, and conversion rates, detecting non-compliance timely and providing data support for necessary adjustments and optimizations Common AI Technologies or Applications Recommendation Systems Recommendation Systems Using AI such as content filtering Content Filtering and collaborative filtering Collaborative Filtering algorithms, based on user's past behavior and preferences to recommend relevant ad copy content Convolutional Neural Networks Convolutional Neural Networks abbreviationCNN Using AI like convolutional neural networks to analyze and identify advertising images, detecting non-compliant content or sensitive information, ensuring regulatory compliance of advertising images and providing a safer advertising environment Generative Artificial Intelligence Generative AI abbreviationGAI Combining natural language processing Natural Language Processing abbreviationNLP with AI such as generative pretrained transformers Generative Pre-trained Transformer abbreviationGPT models, helping understand and identify non-compliant content, optimizing copy expressions, and providing automated review and filtering capabilities, automatically generating ad copy, saving time and manpower expenses, and offering more varied and personalized ad content 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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【2023#08】Intelligent Operational Control Strategies for Air Conditioning Systems - Implementation in Commercial Office Buildings

Industry Professional, Scientific, and Technical Services MMajor Other Professional, Scientific, and Technical Services 76Subcategory Industry Pain Points Low Energy Efficiency The operation of air conditioning systems typically requires a large amount of energy The consumption of energy negatively impacts the environment and also results in high energy costs for companies and individuals Therefore, improving the energy efficiency of air conditioning systems is crucial, which includes developing energy-saving technologies, optimizing design, and control systems to reduce wastage and carbon emissions Low Degree of Intelligent Control and Automation Air conditioning systems often rely on manual adjustments, lacking smart management, which results in low energy efficiency and inconvenience High Maintenance Costs Air conditioning systems typically operate for extended periods and require consideration of material quality, design reliability, and regular maintenance to extend their lifespan and reduce maintenance costs Difficulty in Knowledge Transfer The operation of chiller rooms has long relied on the transmission of expertise through experience, but this unconverted systematic knowledge can lead to a knowledge gap, affecting the overall safety and efficiency of operations Benefits of AI Implementation Enhanced Energy Efficiency Artificial intelligence can train on vast datasets, including temperature, humidity, and power usage, to optimize the operation of air conditioning systems Moreover, through intelligent monitoring and prediction, it can automatically adjust the operational modes of air conditioning equipmentto achieve energy-saving effects Optimized Fault Prediction Alert Processes and Reduced Maintenance Costs Artificial intelligence can perform fault prediction and issue early warnings by monitoring and analyzing operational data from air conditioning systems to detect potential faults and facilitate timely maintenance or repairs, improving system reliability and availability Enhanced User Experience Artificial intelligence can learn users' needs or habits and automatically adjust based on different scenarios and times, providing a more comfortable indoor environment For instance, it can automatically adjust the airspeed and temperature according to external temperature changes, enhancing environmental comfort Remote Monitoring and Management AI and IoT can enable remote monitoring and management of air conditioning systems, reducing labor costs and operational risks Common AI Technologies or Applications Convolutional Neural Networks,QDeep Learning Using AI technologies such as convolutional neural networks can analyze multidimensional data collected from sensors like temperature, humidity, air quality, etc, and adjust the air conditioning system settings accordingly CombiningQlearning by experimenting with different configurations and receiving environmental feedback such as user satisfaction can optimize performance, making air conditioning systems respond more intelligently to environmental changes and user demands, achieving energy efficiency and improved comfort Support Vector Machine, Convolutional Neural Networks Using AI technologies such as support vector machines can analyze monitoring data to distinguish between normal operating conditions and potential fault signs Through training, support vector machines can effectively identify patterns needing attention or early warning Combined with convolutional neural networks, they learn and recognize complex patterns in the data, providing precise fault prediction and alerts, helping to minimize the downtime and maintenance costs of air conditioning systems 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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【2023#07】Air Conditioning Chilled Water Main Energy Data AI Value-Added Applications

Industry Type Professional, Scientific, and Technical Services MMajor Category Construction, Engineering Services, and Technical Testing and Analysis Services 71Subcategory Industry Pain Points Energy Efficiency and Environmental Friendliness Reduce energy consumption and carbon emissions, enhance energy utilization efficiency, promote eco-friendly air conditioning technologies and refrigerant use System Monitoring and Maintenance Effective monitoring and maintenance ensure the normal operation of the air conditioning system, reduce malfunctions and downtime User Experience Provides personalized settings based on individual needs, enjoying smart operation and control, improving comfort and convenience Benefits of Integrating AI Energy Conservation and Efficiency AI can optimize air conditioning system operations, through smart adjustments and predictive control, maximize energy efficiency, and reduce energy consumption and operational costs It adjusts settings in real-time based on indoor and outdoor conditions and user needs, achieving energy-saving effects Fault Prediction and Preventive Maintenance AI can monitor and analyze operation data of air conditioning systems, identify early signs of failure, facilitate preventive maintenance, reduce unexpected faults and downtime, enhance system reliability and stability, and lower maintenance costs Optimized Operational Management AI aids in optimizing air conditioning system operations including scheduling, resource allocation, and logistics management This improves operational efficiency, reduces manpower and time costs, and enhances overall productivity User Experience and Satisfaction AI provides intelligent operation and control options, users can personalize settings through voice assistants or smart control panels, enjoy a more convenient and comfortable experience, help increase customer satisfaction and brand image, promote repeat customer intentions and word-of-mouth advertising Common AI Technologies or Applications Support Vector Machine, AutoRegressive Integrated Moving Average ARIMA Models Using AI such as support vector machines or ARIMA models, which through analyzing historical energy data and external factors like temperature and humidity, can create a predictive model, very helpful in predicting energy consumption of air conditioning systems Random Forest, Convolutional Neural Network, Long Short-Term Memory Network AI technologies like random forest, convolutional neural network, or long short-term memory network can effectively identify fault patterns and abnormal signals from monitoring data, and thus predict potential faults to carry out timely maintenance and reduce downtime and maintenance costs Convolutional Neural Network,QLearning Using AI like convolutional neural networks to analyze multidimensional data collected from sensors such as temperature, humidity, air quality, etc and adjust the settings of air conditioning systems according to this data Combined withQlearning which can experiment with different settings and receive environmental feedback like user satisfaction to optimize performance, making air conditioning systems smarter in responding to environmental changes and user needs, achieving energy savings and increasing comfort levels Convolutional Neural Network, Long Short-Term Memory Network Utilizing AI such as convolutional neural networks for processing voice signals, combined with long short-term memory networks for further speech-to-text conversion and understanding, through intelligent user interfaces and voice assistants, allowing users to interact with the air conditioning system via voice or text data, achieving personalized control and settings 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

AI新創青年共創黑客松EDM
2023 AI Innovation Youth Co-creation Hackathon Participation Instructions

Purpose of the activity This project aims to develop AI application solutions that can actually solve market and social needs Through the joint creation of new innovation leaders and young students, we will strengthen the link with the industry and take root in the digital concept Youth participation in industry and world trends, improving innovative thinking capabilities and teamwork spirit, cultivating AI seed talents, connecting industry needs, bringing transformation and creating value to society, and encouraging students to cooperate across domains, through team interaction, Stimulate more possibilities for cross-field, -shaped talent collaboration, and add digital applications to various possibilities This project encourages participating teams to work with new entrepreneurs through workshops to propose solutions that are feasible, practical, innovative, complete, social impact, etc, to meet industry and social needs, and through After expert review, 15 participating teams were selected to enter the results presentation meeting to present the hackathon solutions and products to investors, industry and academic people and guests, and evaluate the advantages, disadvantages and market potential of each solution Through the communication and evaluation process between developers and industry professionals, it helps to gain in-depth solutions and also allows product developers to understand market feedback and needs We hope that through this project, young students will be encouraged to propose AI application solutions that can actually solve market and social needs, and effectively cultivate AI seed talents Eligibility 1 Students currently studying in domestic colleges and universities junior or above or students within two years of graduation must form a team to register 2 The competition is a team system The number of people in each team is 2-10 Duplicate team registration is not allowed, and one person must be the team representative The representative must have the nationality of the Republic of China and be a national registered in the Republic of China , responsible for contacting the organizer, confirming entry documents, and receiving hackathon subsidies 3 Participation in the workshops required for this project is required 4 Participating teams must choose one of the six major industry directions to produce a solution and submit a proposal plan The industry directions include ESG, artificial intelligence, long-term care applications, work automation, fraud prevention, sports and health, etc Registration process 1 The following is the planned timetable Once confirmed, it will be based on the announcement on the website The organizer and execution unit reserve the right to adjust various timetables based on actual needs nbsp nbsp Hackathon subsidy methods 1 The Hackathon subsidy is divided into four levels one "Excellent", one "Excellent", and two "Excellent" nbsp 2 If there are any disputes or questions about the division of labor or distribution of rights within the proposal team such as the receipt and distribution of hackathon subsidies, the team should handle it by itself The organizer and execution unit will not interfere or get involved in the division of labor or rights within the team Disputes and adjudication such as distribution of rights and interests Notes 1 New entrepreneurs and participating teams participating in this competition are deemed to have agreed to the competition instructions and regulations If there is any dispute, the organizer and the execution unit reserve the right of final interpretation in case of violation, the organizer and the execution unit shall The right to cancel the qualification to participate in the selection and recover the subsidies and awards received, and may make an announcement if there is any violation of the competition instructions that damages the relevant rights and interests of the organizer, execution unit or any other third party, the violator shall be liable for the damage Liability 2 Based on the administrative management, registration operation management, notification and contact, activity information release, subsidy award allocation, questionnaire survey, relevant statistical analysis, or other activities provided by the plan execution unit based on the relevant implementationhandling of this plan For the purpose of information, the organizer and execution unit may collect, process and use the personal information of participating team members 3 All members of the participating team must provide detailed personal information and may not falsely use or misappropriate any third party's information If there are any untrue or incorrect information, the organizer and execution unit may disqualify the applicant from participating in the evaluation and winning the award If any damage is caused to the relevant rights and interests of the organizer, execution unit or any other third party, all members of the participating team shall bear the relevant legal responsibilities 4 Participating team members may request the organizer and execution unit to inquire, make copies, supplement or correct, stop collection, processing or use of personal information provided by this competition in accordance with Article 3 of the Personal Information Law , you can also request deletion when necessary, except for those that must be retained according to law If this affects the rights to participate in the evaluation or win and receive the award, the person shall be responsible for it 5 New entrepreneurs and participating teams agree to keep confidential the commercial secrets and other confidential information of the organizer, executive unit or other parties that they know or hold due to their participation in this competition, and shall not disclose or disclose it to others in any way Third parties are also prohibited from using the information for their own benefit or that of others If there is a violation of this confidentiality agreement, the organizer and the execution unit have the right to terminate cooperation, cancel the qualification to participate in the evaluation, win awards, and recover relevant subsidies Violators shall also be liable for damages The breach of contract by the violator shall also be deemed as a breach of contract by the violator 6 The content of the entry documents and provided information must comply with legal provisions such as copyright, patent rights, trademark rights, portrait rights, privacy rights, personal data protection, etc If the rights of a third party are involved, legal authorization from the right holder must be obtained There shall be no plagiarism, plagiarism, counterfeiting or other infringement of the rights of others If it is discovered, reported or reported that there is a violation of the election instructions, untrue statements or infringement of the rights of others, the participating team will bear all legal responsibilities The organizer and execution unit reserve the right to postpone the announcement of the awards until it is confirmed that there is no dispute over the aforementioned rights situation or the objector or right holder fails to file a right remedy with the competent authority or court in accordance with the law for more than one month after becoming aware of the infringement, or withdraws the file after filing 7 If the infringement of the entries is confirmed to be true by the competent authorities or litigation procedures, the organizer and executive unit may cancel the selection and award qualifications and recover relevant subsidies 8 The intellectual property rights of the research and development demonstration results completed by the participating teams, submitted entries, review materials, demonstration results reports, and results publication pitch briefs belong to the participating teams However, participating teams must agree to authorize the organizer and execution unit free of charge to use their RD empirical results, submitted entries, calligraphy and painting books, and book review presentations for the purpose of promoting this event in a non-regional and non-profit manner , empirical results reports, results publication pitch presentations, including but not limited to taking or providing relevant photos and dynamic images to record relevant activities, and using, editing, printing, displaying, publicizing, reporting, publishing or publicizing their participation in competition results and personal portraits , name and voice, etc If there is no defamation of the author's personality, the participating team shall not exercise the author's moral rights against the organizer and execution unit 9 This competition allocates quotas for each award based on the annual subsidy budget of the competent authority If necessary, the quota for the winning team may be filled or added 10 If a participating team engages in inappropriate behavior, remarks, or makes false accusations against the competition, the competition reserves the right to disqualify the team from competing and winning 11 The relevant schedule and activity information of this competition shall be subject to the announcement on the event website Matters not specified in the competition mechanism may be adjusted according to the actual situation and announced or supplemented on the project website This plan The Drawing Office reserves the right to final interpretation, change and termination of the competition 12 All participating teams that pass the results announcement must cooperate with the organizer and execution unit to carry out relevant evaluation, praise, subsidies, media interviews and reports, etc, and must cooperate with the organizer and execution unit in follow-up performance tracking 13 If there are any disputes over the division of labor or distribution of rights and interests within the participating teams such as the receipt and distribution of hackathon subsidies, the teams should handle it themselves, and the organizer and execution unit will not be involved in the dispute 14 The rights and obligations of this competition may not be transferred without the written consent of the organizer, execution unit and other team members 15 The organizer and execution unit reserve the final right of interpretation for the competition instructions and the interpretation and application of various regulations Any relevant disputes will be handled in accordance with the laws of the Republic of China, and the Taipei District Court of Taiwan shall be the first instance jurisdiction court 16 If there are any matters not covered in these competition instructions, the organizer and execution unit reserve the right to modify and supplement including postponing the competition, terminating the competition or adjusting the competition mechanism, in addition to complying with relevant legal provisions, and shall use this notice The announcement on the competition website is based on this Contest contact window Hackathon Task Force Contact Email tiffanygaonycuedutw Tel 02-25700363 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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AI Service Organization Capability Registration Must Knows

I Goal Administration for Digital Industries, Ministry of Digital Affairs specially planned and established the AI technical service capability classification and registration mechanism to improve the AI development environment in Taiwan, hoping to take stock of domestic AI technical service capabilities through a credible classification and registration mechanism It compiles a map of the domestic AI industry, and assists AI service providers with developing more competitive products and services, in order to expand industrial services and scale, accelerate the application of AI in the industry, and increase industrial value II Definition of technical scope The definition of AI in the capability registration refers to the realization of simulated human cognition, machine autonomous inference, or knowledge work abilities in specific fields or general fields through new modeling methods, such as machine learning and deep learning This is used as the core business or integrated it into existing industries, software and hardware integration, or consulting service solutions III Eligibility Domestic companies established in accordance with the Company Act of the Republic of China with registration approved by the central competent authority, the Ministry of Economic Affairs MOEA, or partnerships established in accordance with the law to provide professional services IV Application Documents Please attach one copy of each of the following documents and send them to the Information Service Industry Association Industrial Service Office Section 1 at 8F, No 99, Sec 2, Chang'an E Rd, Zhongshan District, Taipei City 104097 before 1700 on June 30, 2023 Friday Subject to the time of delivery Please specify "Application for AI Service Organization Capability Registration" on the envelope I Application Form and Affidavit for the MODA ADI's 2023 AI Service Organization Capability Registration see Attachment 1 for the format II Proposal Form for the MODA ADI's 2023 AI Service Organization Capability Registration including electronic file, see Attachment 2 for the format III Required attachments of the proposal 1 A photocopy of the certificate of company registration or business registration issued by the central competent authority2 The most recent tax bill for profit-seeking enterprise income tax, balance sheets, and statement of comprehensive income, or a photocopy of the approval notification for the declaration of income derived from professional practice3 Resume of full-time employee4 A photocopy of documents proving the performance of AI products or professional services Validity period of performance data Within 2 years before the deadline V AI Service Organization Capability Registration Procedures nbsp VI Registration service items and their sub-items nbsp nbsp nbsp VII Composition of the review meeting The review meeting is convened and hosted by the MODA ADI, and the Information Service Industry Association hires experts and scholars to serve as review committee members VIII Tasks of the review meeting I The review meeting is convened and hosted by the MODA ADI, and review committee members review the contents of application forms of AI service organizations for capability registration 1 The quality of full-time personnel of AI service organizations2 Achievements in AI technical service capability registration items of the application3 Execution and management capabilities of the AI company4 Financial health of the AI company II Amendments to review standards III Other matters that should be reviewed at the meeting in accordance with these must knows IX Review during the review meeting The review meeting is convened and hosted by the MODA ADI, and the executing organizer of AI service capability registration reviews qualifications based on relevant documents If the information is found to be incomplete, the applicant will be notified to supplement documents or make corrections within the time limit If the qualifications and information meet the requirements, it will be sent directly to the review meeting for review X Pass or fail the review meeting If an applicant passes the qualification review, MODA ADI will convene a review meeting The executing organizer of AI service capability registration will request a review meeting be convened and notify the applicant to give a presentation and answer questions See Attachment 3 for the format of the applicantrsquos presentationResolutions after review by the review meeting include I Passed the review The applicant will be notified of the result by letter, and the executive organizer will make an announcement or post the results on the website II Did not pass the review Applicants will also be notified of the results by letter XI Review Standards I Eligibility review General conditions Domestic companies established in accordance with the Company Act of the Republic of China with registration approved by the central competent authority, the Ministry of Economic Affairs MOEA, or partnerships established in accordance with the law to provide professional services II Technical review Quality of human resources 1 Human resource At least three full-time personnel 2 Graduated from university and above and has at least two years of relevant work experience four years for junior college and six years for high vocational school 3 If the experience does not meet the above standards, documentation of individual achievements must be provided such as AI project implementation performance, awards won in domestic and overseas AI-related competitions, industry internships, industry-academia collaboration experience, etc and must be reviewed and approved by the review committee before work experience requirements may be waived List guidance achievements in the past two years, and provide documents sufficient to prove the capability to implement the technology sub-project Effective period of achievement Within 2 years before the deadline III Service review Financial status 1 The company's finances are sound and its net worth is not negative 2 The company applying for registration does not owe any taxes AI project experience 1 List the AI-related products, services, or systems that the company took the lead or participated in completing, and achievements in assisting customers with implementation 2 The achievements listed by applicants must include the same service items to prove their experience and capabilities 3 Applicants can introduce their services and products in detail, and explain their implementation strategies for future solutions XII Registration Applicants that pass the review will be registered by the MODA ADI and the executing organizer will make an announcement or post results on the website XIII Effective period of registration The effective period of AI service organization capability registration is two years When the period expires, an application may be submitted through written review or meeting review, and the effective period may be extended for two years after passing the review in the review meeting XIV Changes to registered information I If there are any changes to basic information, such as the person in charge, contact person, telephone number, and fax, of the registered company, an application form for change see Attachment 4 and related documents must be submitted to apply to the executing organizer for change of AI service organization capability registration II Related documents must be submitted for review to add or change service registration items XV Announce registration related information Please refer to the website of the MODA ADI and the website of the executing organizer for related regulations, application documents, and information on registered companies XVI Tracking management and appeal mechanism I If there is a material change in a registered AI service organization that is sufficient to affect the contents registered, the executing organizer of AI service organization capability registration shall be notified II The executing organizer of AI service organization capability registration may irregularly conduct verification or visits related to the contents of registration, and may appoint professionals to assist in the verification when necessary III If necessary, applicants may file an appeal with the executing organizer, and the executing organizer will respond in writing XVII Cancellation conditions During tracking management, if the following conduct is confirmed through verification or inspection, the company will be notified to make improvement If the company fails to make improvements, the company's registration qualification will be cancelledI The registration information does not match II There is a major violation III The registration qualification has expired and resulted in damage to the rights and interests of other companies or owners IV Other events deemed sufficient for cancellation of qualification by the review meeting for AI service organization capability registration XVIII Penal provisions for cancellation Companies that canceled its registration may not apply for AI service organization capability registration within two years Attachments and more information are available at wwwcisanetorgtwNewsDetail5669

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2023 AI+ Rising Talent Selection Competition Instructions

1 Origin of the competition With the massive data coming from the Internet of Things, the increasing maturity of chip technology, and the continuous evolution of algorithms, artificial intelligence-related applications have attracted much attention, and have been promoted to one of the world's major scientific and technological technologies, and will become the future digital technology of human society As a key indicator of globalization, competition for artificial intelligence-related patents and intellectual property rights in various industries is rising rapidly In response to the Executive Yuan's "Taiwan AI Action Plan", the Digital Industry Agency of the Ministry of Digital Affairs is committed to promoting the "AI Smart Application Service Development Environment Promotion Plan" and encourages information and communication industry players to cooperate with AI technology energy companies through a competition and matching platform Cooperate to deploy AI and edge computing products to develop artificial intelligence technologies and applications that meet market needs, hoping to produce more innovative value-added products or services and lead Taiwan to the world with diversified applications of artificial intelligence 2 Competition purpose The purpose of the "2023 AI Rising Talent Selection Competition" is to take market demand as the guide, and jointly develop innovative AI value-added products or Services, in order to achieve the purpose of coaching AI technology energy companies hereinafter referred to as the team, deepen the cooperation results between the demand industry and participating teams on AI value-added products or services, and then promote "internal and external cooperation to accelerate research and development", "Taiwan trials, Go international" and other goals Participation, proposal specifications and participation themes 1 Category 1 New Talent Selection 1 Category Introduction The demand industry will propose research topics on the AI introduction needs for their products and servicessupply chainsrelated industry fields, and then a proposal team with AI technology power will make a proposal and start a problem-solving plan with the demand industry painting 2 Qualifications for team proposals all the following conditions must be met Domestic sole proprietorships and partnerships registered in accordance with the law after January 1, 104 within the past 8 years shall not be mainland-funded enterprises announced by the Investment Review Committee of the Ministry of Economic Affairs or have artificial intelligence-related research centers on campus Domestic colleges and universities no limit on the age of establishment, but the proposal team must come from its artificial intelligence or Internet of Things and other related research centers Have machine learning, deep learning, neural network and other AI technologies to provide core development capabilities for products or services through image recognition, natural semanticsspeech, algorithms, and data analysis Non-bank current accounts are rejected 3 The proposal team must complete the competition theme content proposed by the industry in demand within the specified time Step 1 Online registration website seminarstcaorgtwD15r00385aspx Step 2 Download the attachment file from the competition website aicontesttcaorgtw 1 New Talent Selection-Team Participation Consent Form Attachment 1 2 Personal Data Consent Form Attachment 4 3 Proposal briefing please download the briefing format from the competition website Step 3 Submit the three files in Step 2, "New Talent Selection-Team Participation Consent Form Attachment 1", "Personal Data Consent Form Attachment 4", and "Proposal Brief" in the form of electronic files use post-printing Scan and send to the designated email address Contact Email anna_yangmailtcaorgtw 4 The team must select a single category to propose, and the proposal is limited to 1 topic 5 The demand topics of demand companies are as follows, please refer to demand companies are sorted by strokes nbsp nbsp nbsp nbsp nbsp 2 Category 2 Technology Promotion 1 Category introduction AI demand industry players join hands with at least three new startup teams to jointly propose, and then launch a cooperative development plan, with the goal of subsequent long-term investment 2 Qualifications for team proposals all the following conditions must be met AI demand enterprises sole proprietorships or partnerships registered in accordance with the law in China, and shall not be mainland-owned enterprises announced by the Investment Review Committee of the Ministry of Economic Affairs Their products or services are industry representative or innovative, have the ability to guide new innovations, and A cooperation agreement with the new startup team needs to be proposed at the end of the period AI startup team a sole proprietorship or partnership established in accordance with the law in China after January 1, 2014 within the past 8 years, and shall not be mainland-funded enterprises announced by the Investment Review Committee of the Ministry of Economic Affairs or in-school artificial intelligence Domestic colleges and universities with smart-related research centers the proposal team must come from their AI research centers Have the core capabilities of providing products or services through image recognition, natural semanticsspeech, algorithms, and data analysis using AI technologies such as machine learning, deep learning, and neural networks Non-bank current accounts are rejected 3 The preliminary review of this year’s proposals will be held in early May The new startup team must complete the promotion issues proposed by the AI demand industry within the designated time Step 1 Online registration website seminarstcaorgtwD15r00385aspx Step 2 Download the attachment file from the competition website aicontesttcaorgtw 1 Technology Promotion-Demand Industry Proposal Agreement and Cooperation Plan Appendix 2 2 Technology Promotion-Team Proposal Agreement Attachment 3 3 Personal Data Consent Form Attachment 4 4 Proposal briefing please download the briefing format from the competition website Step 3 Submit the 4 files in step 2 "Technology Promotion - Demand Industry Proposal Agreement and Cooperation Plan Attachment 2", "Technology Promotion - Team Proposal Agreement Attachment 3", "Personal Information "Consent Letter Annex 4" and "Proposal Brief" shall be sent to the designated email address in the form of electronic files scanned after printing Contact Email anna_yang mailtcaorgtw 4 The team must select a single category to propose, and the proposal is limited to 1 topic 4 Competition registration methods and procedures 1 Category 1 New Talent Selection 2 Category 2 Technology Promotion Five, evaluation methods 1 Category 1 New Talent Selection 1 The evaluation team is composed of representatives of demanding industries and academic experts 2 When the proposal team attends the preliminary review meeting, the proposal team must prepare a briefing please make the briefing according to the format provided on the official website, explain the proposal plan and accept review questions and answers 3 When the proposal team attends the final review meeting, the proposal team must separately prepare a results explanation briefing, an empirical results report and relevant supporting materials, explain the project's empirical results and accept review questions and answers 4 Preliminary review Step 1 The briefing should include an introduction to team energy, description of demand selection, domestic and foreign market analysis, solution description, feasibility analysis, etc Step 2 The review committee will perform the preliminary review according to the assessment standards and determine the qualifications to participate in the demonstration Step 3 The preliminary evaluation criteria are as follows nbsp 5 Final trial Step 1 The content of the results description briefing submitted at the end of the term should include a description of the solution verification situation, actual problem-solving methods and results, future continuation practices, etc Step 2 The proposal team must submit an additional empirical results report and supporting information, and attend the final review meeting Step 3 The award review committee will perform the final review work according to the final review standards, and based on the preliminary review results, after the proposal team submits the final review materials, they will determine the evidence-based award Step 4 The final review and evaluation criteria are as follows nbsp 2 Category 2 Technology Promotion 1 Both the AI demand industry and the proposal team must attend the proposal review meeting When the proposal team attends the preliminary review meeting, they must prepare a briefing please make the briefing according to the format provided on the official website to explain the proposal for the promotion plan and accept the review QA 2 When the proposal team attends the final review meeting, it is required to prepare a briefing report on the results the format of the briefing is not limited and a progress report and supporting information, explain the results of the promotion plan and accept the review's questions and answers 3 Preliminary review Step 1 The briefing should include the past operating performance of the proposal team, the resource utilization plan of the demand industry, and the expected benefit plan, etc Step 2 The review committee performs the preliminary review process according to the assessment standards and determines whether the proposal team's proposal direction for promoting the plan is appropriate Step 3 The preliminary review standards are as follows nbsp 4 Final review Step 1 The content of the achievement description briefing submitted at the end of the period should include a description of the implementation status of the current year's promotion plan, the degree of achievement of the designated indicators of each plan, the cooperation between the demand industry and the team, and future continuation Practice etc Step 2 The proposal team must submit a separate progress report and supporting materials and attend the final review meeting Step 3 The review committee will perform the final review work according to the final review assessment standards, and simultaneously refer to the preliminary review results After the proposal team submits the final review materials, they will determine whether it has passed this year's inspection indicators nbsp nbsp Lu, reward method 1 Category 1 New Talent Selection nbsp 2 Category 2 Technology Promotion nbsp Seven, Competition Notes 1 Demand vendors and proposal teams participating in this competition are deemed to have agreed to the competition instructions and various regulations If there is any dispute, the organizer and the execution unit reserve the right of final interpretation in case of violation, the organizer and the execution unit shall The right to cancel the qualification to participate in the selection and recover the rewards and prizes received, and may make an announcement if there is any violation of the competition instructions that damages the relevant rights and interests of the organizer, execution unit or any other third party, the violator shall be liable for the damage Liability 2 If the participating empirical works use existing products, services, or solutions to participate in the selection, they must explain the new additions to the product, service, or solution after participating in the selection 3 The awards will be flexibly allocated by the evaluation team based on the level of the participating evidence works and the actual situation If necessary, the awards can be "adjusted" or "the number of quotas increased or vacated" 4 The content of participating demonstration works and providing information must comply with legal regulations such as copyright, patent rights, trademark rights, portrait rights, privacy rights, personal data protection, etc If the rights of a third party are involved, legal authorization from the right holder must be obtained , and shall not involve plagiarism, plagiarism, counterfeiting or other infringement of the rights of others If it is discovered, reported or reported that there is a violation of the election instructions, untrue statements or infringement of the rights of others, the proposal team will bear all legal responsibilities The organizer and execution unit reserve the right to postpone the announcement of the award until it is confirmed that there is no dispute over the aforementioned rights situation or the objector or right holder fails to file a right remedy with the competent authority or court in accordance with the law for more than one month after becoming aware of the infringement, or withdraws the file after filing 5 If the works participating in the evaluation are confirmed to be infringing by the competent authorities or litigation procedures, the organizer and executive unit may cancel the selection and award qualifications and recover relevant rewards 6 The intellectual property rights of the research and development demonstration results completed by the proposal team, submitted entries, preliminary review briefs, final review briefs, demonstration results reports, and promotion results reports belong to the proposal team However, the proposal team must agree to authorize the organizer and execution unit free of charge to use its research and development demonstration results, submitted entries, preliminary review briefs, final review briefs, and evidence for the purpose of promoting this event in a non-regional and non-profit manner Results reports and promotion results reports, including but not limited to taking or asking Party B to provide relevant photos and dynamic images to record relevant activities, and use, edit, print, display, publicize, report, publish or disclose the results of their participation in the selection, personal portraits, Name and voice, etc If there is no defamation of the author's personality, the proposal team shall not exercise the author's moral rights against the organizer and execution unit 7 Proposal teams that participate in the "New Talent Selection" mechanism and pass the final review must agree to give priority to providing relevant technologies or services to companies that demand cooperation evidence, and the companies that demand them should pay reasonable remuneration to contract for follow-up work if they are not willing, they must Give reasons in advance Demanding enterprises are not allowed to use the proposal team's related technologies or services without obtaining the consent of the proposal team to cooperate they are not allowed to use the proposal team's preliminary review briefing, empirical results report and final review briefing without obtaining the consent of the sponsor and execution unit 8 For the purpose of proposal team management, registration management, identity confirmation during the event, event contact, reward delivery, plan-related information contact, publicity and related administrative operations, the organizer and execution unit may collect, process and use Personal information of proposal team members 9 All members of the proposal team must provide detailed personal information and may not impersonate or misappropriate any third party's information If there are any untrue or incorrect information, the organizer and execution unit may disqualify the applicant from participating in the evaluation and winning the award If any damage is caused to the relevant rights and interests of the organizer, execution unit or any other third party, all members of the proposal team shall bear relevant legal responsibilities 10 Proposal team members may request the organizer and execution unit to inquire, make copies, supplement or correct, stop collection, processing or use of personal information provided by this competition in accordance with Article 3 of the Personal Information Law , you can also request deletion when necessary, except for those that must be retained according to law If this affects the rights to participate in the evaluation or win and receive the award, the person shall be responsible for it 11 Demand vendors and proposal teams agree to keep confidential the commercial secrets and other confidential information of the organizer, executive unit or other parties that they know or hold in connection with participating in this competition, and shall not disclose or disclose it to others in any way Third parties are also prohibited from using the information for their own benefit or that of others If there is a violation of this confidentiality agreement, the organizer and the execution unit have the right to terminate cooperation, cancel participation in assessments, qualifications for awards, and recover relevant rewards Violators shall be liable for damages The breach of contract by the violator shall also be deemed as a breach of contract by the violator 12 All proposal teams that pass the final review must cooperate with the organizer and the execution unit to carry out relevant evaluation, praise, subsidies, media interviews and reports, etc, and must cooperate with the organizer and the execution unit to conduct follow-up performance tracking for 3 years 13 If there are any disputes or questions about the division of labor or distribution of rights such as bonus collection and distribution within the proposal team, the team should handle it by itself, and the sponsor and execution unit will not be involved in the dispute 14 The rights and obligations of this competition may not be transferred without the written consent of the organizer, execution unit and other team members 15 The organizer and execution unit reserve the final right of interpretation for the competition instructions and the interpretation and application of various regulations Any relevant disputes will be handled in accordance with the laws of the Republic of China, and the Taipei District Court of Taiwan shall be the first instance jurisdiction court 16 If there are any matters not covered in this competition notice, in addition to the relevant provisions of the law, the organizer and the execution unit reserve the right to modify and supplement including any changes, updates, modifications to the event, and use this competition website aicontesttcaorgtw announcement is based on this 8 Competition contact window Taipei Computer Association TCA Optimize service group Smart Industry Service Center Email Contact Email anna_yangmailtcaorgtw Telephone 022570-6337 9375 nbsp Organizer Digital Industry Agency, Ministry of Digital Development Executive unit Taipei Computer Business Association Demand units Microsoft Taiwan Co, Ltd, Zoukanan Co, Ltd, Advantech Co, Ltd, Super Micro Semiconductor Co, Ltd, iKu Intelligent Technology Co, Ltd The above names are sorted by strokes nbsp For more information, please visit aicontesttcaorgtw 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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2023 AI Application Quiz Contest Competition Instructions

Purpose of the competition In view of the fact that the wave of automation such as artificial intelligence and robots is rapidly spreading to countries around the world, and in the face of the challenges of emerging technologies in the future, Our country is now promoting the "52 Industrial Innovation Plan" to drive comprehensive industrial innovation in addition, in response to the needs of industrial digitalization and intelligent transformation, it has also comprehensively launched relevant talent cultivation training programs, ranging from school education to on-the-job training Start training and employee training and general AI talents, expand the processing of "Industrial Talent Ability Assessment" to facilitate the close integration of training courses with the workplace, and launch the "Digital CountryInnovative Economic Development Plan" and "Taiwan AI Action Plan" ” and other measures to enhance the smart technology application skills of industrial talents While welcoming new job opportunities brought by new technologies, they also hope to reduce the threat of automation to the labor market This competition hopes to provide industrial AI professional talent training based on industrial talent needs, with artificial intelligence as the core, and cultivate talents for industrial intelligent technology integration and innovative application As for the industrial AI talent cultivation model, it mainly uses "Industry Problem Solving x Talent Problem Solving" in "Learning by Doing", and various learning and cultivation activities are simultaneously carried out to strengthen the strength of domestic AI talents and accelerate industrial AI Qualifications 1 This competition is a team system Each team has 2-10 people Duplicate groups are not allowed To register as a team, one person must be the team representative, but the representative must have the nationality of the Republic of China and be a national registered in the Republic of China He is responsible for contacting the organizer, confirming the entry documents, and receiving the prize money 2 If any team members are under 20 years old, they must obtain the consent of their legal representative before they can participate Registration Process 1 All process times are estimated processing times, and the timetable will be determined according to the announcement on the website Based on this, the organizer and execution unit reserve the right to adjust various schedules based on actual needs nbsp nbsp Bonus subsidy method 1 Achievement reward subsidy is divided into three grades "gold medal", "silver medal" and "bronze medal", and the rest are excellent works prize nbsp 2 Division of labor or distribution of rights such as bonus collection and distribution within the proposal team If there are any disputes or questions, the team should handle them themselves , the organizer and execution unit will not interfere or get involved in disputes and rulings such as division of labor or distribution of rights within the team Notes 1 The question makers and problem solving teams participating in this competition are deemed to have agreed to the competition instructions and each According to this provision, if there is any dispute, the organizer and the executive unit reserve the right of final interpretation if there is any violation, the organizer and the executive unit have the right to cancel the qualification to participate in the selection and recover the rewards and awards received, and may make an announcement if If any matter that violates the competition instructions causes damage to the relevant rights and interests of the organizer, execution unit or any other third party, the violator shall be liable for damages 2 Based on the administrative management, registration management, notification and contact, activity information release, award item allocation, questionnaire survey, relevant statistical analysis related to the implementationhandling of this plan, or provided by the plan execution unit For the purpose of other activity information, the organizer and execution unit may collect, process and use the personal information of problem-solving team members 3 All members of the problem-solving team must provide detailed personal information and may not impersonate or misappropriate any third party's information If there are any untrue or incorrect information, the organizer and execution unit may disqualify the applicant from participating in the evaluation and winning the award If any damage is caused to the relevant rights and interests of the organizer, execution unit or any other third party, all members of the problem-solving team shall bear the relevant legal responsibilities 4 Members of the problem-solving team may request the organizer and execution unit to inquire, make a copy, supplement or correct the personal information provided by this competition, or stop collection and processing in accordance with Article 3 of the Personal Information Law Use, and you can also request deletion when necessary, except for those that must be retained according to law If this affects the rights to participate in the evaluation or win awards and receive awards, you should be responsible for your own responsibility 5 The question maker and problem solving team agree to keep confidential the commercial secrets and other confidential information of the organizer, executive unit or other parties that they know or hold in connection with participating in this competition and shall not leak or disclose it in any way Other third parties may not use the information for their own benefit or that of others If there is a violation of this confidentiality agreement, the organizer and the execution unit have the right to terminate cooperation, cancel participation in assessments, qualifications for awards, and recover relevant rewards Violators shall be liable for damages The breach of contract by the violator shall also be deemed as a breach of contract by the violator 6 If the question-producing manufacturer expressly agrees on a confidentiality agreement or other cooperation matters in the question-producing content, the problem-solving team's application for problem-solving will be deemed to agree to the conditions agreed by the question-producing unit nbsp7 The content of the entry documents and provided information must comply with legal provisions such as copyright, patent rights, trademark rights, portrait rights, privacy rights, personal data protection, etc If the rights of a third party are involved, the legal rights of the rights holder must be obtained Authorization shall not involve plagiarism, plagiarism, counterfeiting or other infringement of the rights of others If it is discovered, reported or reported that there is a violation of the election instructions, untrue statements or infringement of the rights of others, the problem-solving team will bear all legal responsibilities The organizer and execution unit reserve the right to postpone the announcement of the awards until it is confirmed that there is no such right Dispute situations or where the objector or rights holder fails to file a right remedy with the competent authority or court in accordance with the law for more than one month after becoming aware of the infringement, or withdraws the file after filing 8 If the infringement of the entries is confirmed to be true by the competent authorities or litigation procedures, the organizer and executive unit may cancel the selection and award qualifications and recover relevant rewards 9 The intellectual property rights of the research and development demonstration results completed by the problem-solving team, submitted entries, calligraphy audit drawings, book review briefs, demonstration results reports, and results publication pitch briefs belong to the problem-solving team However, the problem-solving team must agree to authorize the organizer and execution unit free of charge to use its research and development empirical results, submitted entries, calligraphy and painting books, and book review for the purpose of promoting this event in a non-regional and non-profit manner Briefings, empirical results reports, and results presentation pitch presentations, including but not limited to taking or providing relevant photos and dynamic images to record relevant activities, and using, editing, printing, displaying, promoting, reporting, publishing or publicizing the results of competitions, personal Portrait, name and voice, etc If there is no defamation of the author's personality, the problem-solving team shall not exercise the author's moral rights against the organizer and execution unit 10 To participate in this competition, the problem-solving team that has passed the problem-solving qualification review must agree to give priority to the relevant technology or services of the problem-producing manufacturer that provides cooperation evidence The problem-producing manufacturer shall not use the solution if it has not obtained the consent of the problem-solving team to cooperate The relevant technologies or services of the problem-solving team shall not be used without the consent of the organizer and execution unit The relevant plans and presentation materials of the problem-solving team participating in this competition shall not be used 11 This competition allocates quotas for each award based on the annual subsidy budget of the competent authority If necessary, the quota for the winning team may be filled or added 12 If the problem-solving team has inappropriate behavior, remarks, or makes false accusations against the competition, the competition has the right to disqualify the problem-solving team from competing and winning awards 13 The relevant schedule and activity information of this competition shall be subject to the announcement on the event website Matters not specified in the competition mechanism may be adjusted according to the actual situation and announced or supplemented on the project website This plan The Drawing Office reserves the right to final interpretation, change and termination of the competition 14 All problem-solving teams that have published results must cooperate with the organizer and the execution unit to carry out relevant evaluations, praises, subsidies, media interviews and reports, etc, and must cooperate with the organizer and the execution unit in follow-up performance tracking 15 If there are any disputes or disputes over the division of labor or distribution of rights such as bonus collection and distribution within the problem-solving team, the team should handle it themselves, and the organizer and execution unit will not be involved in the dispute 16 The rights and obligations of this competition may not be transferred without the written consent of the organizer, execution unit and other team members 17 The organizer and execution unit reserve the final right of interpretation for the competition instructions and the interpretation and application of various regulations Any relevant disputes will be handled in accordance with the laws of the Republic of China, and the Taipei District Court of Taiwan shall be the first instance jurisdiction court If there are any matters not covered in this competition notice, in addition to complying with relevant legal provisions, the organizer and execution unit reserve the right to modify and supplement including postponing the competition, terminating the competition or adjusting the competition mechanism, and refer to this competition website based on the announcement nbsp Contest Contact Window Taipei Computer Association TCA Optimized Service Group Smart Industry Service Center Ms Zhang Contact Email jen_changmailtcaorgtw Telephone 02 2570-6337 9925 Hosted Unit Digital Industry Administration, Department of Digital Development Implementing unit Taipei Computer Business Association nbsp For more information, please see webiste aitalentstcaorgtwHomeContestDescription 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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Guidelines for Application of Industry AI Implementation and Diffusion for the Fiscal Year 112

Project Origin To effectively accelerate the adoption of AI technology in the industry, the Industry AI Implementation and Diffusion Application process encourages businesses to develop common solutions through appropriate data collection and analysis based on industry-specific AI technology demands and preparedness, facilitating the bridging of AI innovations with industry needs, and harnessing the energy of AI startups, IT service providers, and various industrial sectors This initiative aims to enable industries to practice AI integration gradually, grounding AI in the industry, and achieving the vision of a smart nation Application for the Project 1 Scope of Subsidy1 Encourage AI technology service providers or IT service businesses to develop AI technologies and solutions based on common business needs2 Encourage enterprises to be demand-oriented and develop service process innovation and business model innovation through AI technology to achieve the spread of industrial benefits and the improvement of commercial value 2 Application Categories1 The subsidy categories announced in this announcement include two categories "Industrial AI Implementation Concept Verification" and "AI Import Service Verification" Applicants can only choose one category to apply for, You may not apply for both categoriesat the same time 2 Applicants must cooperate with project cooperation units and outsourcing units to participate in the development of AI application technology in accordance with the project content 3 The overall project application categories are as shown in the following table 4 Regarding the subsidy category for applicants, if the content of the proposal is assessed by the review committee to be more suitable for another category, the executive unit has the right to adjust the subsidy category for the applicant4 Regarding the subsidy category of the applicant, if the review committee evaluates that the content of the proposal is more in line with other categories in the future, the executive unit has the right to adjust the subsidy category of the applicant 3 Applicant Eligibility1 Domestic sole proprietorships, partnerships, limited partnerships or companies registered in accordance with the law shall not be mainland-owned enterprises announced by the Investment Review Committee of the Ministry of Economic Affairs Note 1 2 If the applicant company is not a bank account, its net worth should be positive Note 2 3 Enterprises applying for industrial AI implementation proof of concept must cooperate with the service team compiled in the 112 annual plan of the Digital Industry Administration of the Ministry of Digital Development and the industry promotion group SIG announced and selected, and must complete the industry promotion group SIG SIG can only make proposals after consulting the consultation form List of service groups for 1112 years1 North District Service Group Information Industry Promotion Association2 Central District Service Group Taichung Computer Business Association3 South District Service Team National Sun Yat-sen University South District Industrial Development Promotion Research Center4 Information Service Industry AI Upgrade Service Team Information Software Association of the Republic of China2 112th Industry Promotion Group SIG List1 Taiwan Fluid Transmission Industry Association2 Biotechnology and Pharmaceutical Industry Association of the Republic of China3 Taiwan E-Commerce and Entrepreneurship Association4 Taiwan Electronic Connection Industry Association5 Golf Course Industry Association of the Republic of China6 Taiwan Science and Technology Industrial Park Electrical and Electronics Industry Association7 Energy Technology Services Business Association of the Republic of China8 Republic of China Tourist Hotel Business Association9 Taiwan Food Bank Federation10 Taiwan Medical Imaging Information Standards Association Note 1 Mainland-owned enterprises are identified in accordance with the Commercial and Industrial Registration Announcement of the Department of Commerce, Ministry of Economic Affairs The equity status of the information inquiry service or the list of mainland investment enterprises in Taiwan by the Investment Review Committee of the Ministry of Economic Affairs shall prevail Note 2 The determination of the company's net worth is based on the audit report of the accountant's financial visa for the most recent year at the time of application if there is no audit report of the accountant's visa, the profit-seeking enterprise income tax settlement declaration cover and profit and loss statement , balance sheet financial statements shall prevail if the company was registered and established in the year of plan application, the audit report on the registered capital of the company and the latest accountant's mid-term audit report or one month before application shall be used Replace with self-prepared financial statements if it is a new company less than one year old, use the latest "Business Tax Return", the latest "Number of Insured Labor Insurance Payment Lists" and "Taxpayer Violation and Tax Arrears Checklist" instead If the company's net worth was originally negative and the capital was increased recently, the "electronic scanned file of the third-party accountant's visa" within 2 months before the deadline for receipt should be used instead Due to the capital increase before the project application, the interim financial statements have been transferred If it is a positive value, it is deemed to comply with the application requirements 4 Application Schedule, Method, and Contact Information1 Project application deadlineThe application period is from the announcement date toApplications are accepted from the announcement date until March 21, 112 Tuesday at 1200 noon 2 The application process will all be done online Please go to the 112th AI Smart Application Service Development Environment Promotion Plan - "Industrial AI Implementation Demonstration and Diffusion Application Application" website to complete the program application and fill in the relevant application content 1 Please refer to the project website aisubsidytcaorgtw for application instructions URL Application document upload aitcaorgtw 2 Please print the required documents before planning Upload the color scan file to the painting website and upload it before 12 noon on March 21 Tuesday, the project application deadline 3 The information submitted by the project applicant will not be returned regardless of whether it is approved or not or the company withdraws the case on its own If there are any gaps or errors in the information required for application, the executing unit will notify the applicant and require the applicant to make supplementary documents The supplement must be completed within three working days after the notification Failure to do so will be regarded as ineligibility , before entering the proposal review process Please refer to the instructions "5 Precautions" for the relevant application procedures 3 Service window Taipei Computer AssociationCategory 1, Industrial AI implementation concept verificationNorth District Service Team Ms Wu 02 2570-6337 extension 9253 Contact Email sophiawumailtcaorgtw Central District Service Team Ms Hong 02 2570-6337 ext 9827 Contact Email jenny_hungmailtcaorgtw Southern District Service Team Ms Wu 02 2570-6337 ext 9253 Contact Email sophiawumailtcaorgtw Category 2, AI import service-based verificationHigh Miss 02 2570-6337 extension 9512 Contact Email yvonnekaomailtcaorgtw 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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Briefing Sessions on Application for the 2023 AI Implementation Verification Subsidy in Northern, Central and Southern Taiwan will start on March 7

Enterprise AI power, the real power for development of the AI industry Sign up now for the Administration for Digital industries 【2023 AI Subsidy Briefing Session】 Taiwan is facing the challenges and opportunities brought by the digital economy To accelerate the upgrading and transformation of industries through AI, let us give you a hand The project focuses on AI technology development, making industries more intelligent, AI industrialization, and AI industry internationalization, assists in connecting innovative AI technology with industry demand and issues, and drives the digital transformation of enterprises Efforts to make industries more intelligent must be based on the AI technology needs and implementation readiness of industries, and produce common solutions through appropriate data collection and analysis, so as to drive rapid industrial application and the future expansion of supply chain systems The capabilities of AI startups, information service providers, and industry capabilities in various fields are gathered together, using hardware as an economic push and software as a pull, linking the energy of international partners to promote the gradual implementation of AI in the industry and the implementation of the AI industry to achieve the vision of a smart nation Application for industry AI implementation and diffusion has begun To get started with the subsidy application process, you cannot miss this briefing session The maximum subsidy for each company is NT 4 million Subjects Companies in the field Information service providers AI startups Event information The Central and Southern Taiwan events are offline events, only the Taipei event will be held online simultaneously Date Session Method Time Meeting location 1120307二 Central Taiwan Offline 14001530 Registration at 1330 Tai Chung Computer Association Conference Room 9039th Floor, No 95-8, Sec 1, Changping Rd, Beitun District, Taichung City 1130309四 Southern Taiwan Offline Please refer to the table below event schedule Conference Room on the 1st floor of the Southern Taiwan Industry Promotion Centernbsp1F, No 6, Fuxing 4th Road, Qianzhen District, Kaohsiung City 1120310五 Northern Taiwan Offline online video conference Please refer to the table below event schedule Taipei Computer Association Conference Room B103B1, No 2, Sec 3, Bade Rd, Taipei City nbsp Agenda Time Length Agenda Speaker 13301400 30 mins Registration time nbsp 14001405 5 mins Opening nbsp nbspExplanation by the executing organizer Project executing organizer 14051420 15 mins Project description and sharing of guidance resources Service team representative 14201450 30 mins Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14501530 40 mins Comprehensive discussion and exchanges QampA All participants nbsp Please click on the following URL to register now and learn more detailed information and online website Registration website Event Contact Taipei Computer Association 02-2570-6337Mr Wu 9208 Miss Wu 9253nbsp

公告 112年度AI智慧應用服務發展環境推動計畫 產業AI化推動工作小組SIG入選名單
2023 AI Smart Applications Services Development Environment Promotion Plan - Industry AI Implementation Work Group (SIG) Selected List

In accordance with the Executive Yuan's 'Taiwan AI Action Plan', by establishing an Application Services Development Environment AI HUB to link supply and demand resources, the plan aims to promote interdisciplinary and cross-industry collaboration to drive the intelligent development of industries It is desired in collaboration with public associations to form an Industry AI Implementation Work Group SIG that will promote and assist the intelligent upgrading and transformation of local industries, while co-creating a blueprint for industrial AI development Based on the evaluation meeting of the Industry AI Implementation Work Group SIG on January 17-18, 2023, the selected public associations are as follows 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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