:::

Special Cases

28
2021.11
【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
【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

Records of

這是一張圖片。 This is a picture.
113th Year Practical Topics: Application of Artificial Intelligence Software and Hardware Platforms in Smart Manufacturing

Industry Category Artificial Intelligence Application Service Industry Industrial pain points In smart manufacturing, companies face the challenge of integrating different technologies and platforms, especially when ensuring data interoperability between various systems Different hardware and software solutions often require extensive adjustments to work together In addition, the introduction of these technologies often involves huge investments of capital and resources For small and medium-sized enterprises, this kind of investment may bring considerable cost pressure, and it is difficult to see a specific return on investment in the short term, which in turn affects the enterprise's assessment of long-term returns and capital allocation decisions Import AI benefits Through sophisticated data analysis and simulation technology, the system can quickly predict and solve problems in the production process, and adjust manufacturing process parameters in real time This not only helps reduce the output of defective products, but also reduces the waste of energy and materials, thereby achieving higher production efficiency and stable product quality The application of the system allows companies to shorten the time to market, improve market competitiveness, and make the production process more flexible and efficient In addition, the system also has the ability to accurately predict risks, detect potential problems in advance at each production stage, and take timely adjustment measures, thereby significantly reducing production costs and improving resource utilization Especially in large production lines, this type of automated decision-making process can effectively reduce manual intervention and avoid production interruptions This not only ensures the continuity and efficient operation of the production process, but also helps companies save resources while maintaining a competitive advantage Through such a smart manufacturing platform, companies can not only improve operational efficiency, but also achieve a more flexible and stable production model Common AI technologies Generative artificial intelligence platforms, such as NVIDIA’s NeMo

這是一張圖片。 This is a picture.
Practical Issues for the Year 113: Industry-Specific or General AI Assistants

Industry AI Application Services Industry Industry Pain Points In various industries or sectors, the application aspects of AI assistants are diverse, yet the challenges primarily revolve around how to construct AI assistants within companies to meet the diversified needs of different internal departments This involves assessing the needs of each department, adapting through the actual technical implementation process, and seamlessly integrating with existing workflows Often, due to insufficient technical knowledge and resource management experience, the implementation process is delayed and inefficient, increasing the operational risks and costs for businesses AI Implementation Benefits AI can address the demands of different functional departments by automating repetitive tasks, significantly boosting work efficiency and reducing labor costs Through this system, many tedious tasks can be delegated to artificial intelligence, thereby freeing up human resources to focus on higher-value work In addition, AI assistants can maintain high quality of task execution, minimizing errors caused by manual operations and thus enhancing the precision and stability of task outcomes Simultaneously, as companies gradually introduce and implement AI, they can closely observe potential risks in the system's application and formulate appropriate risk control plans This strategic introduction not only reduces potential problems during the transition period but also lays a solid foundation for future large-scale applications of AI Through such risk assessments and controls, companies can ensure that AI assistants operate safely and efficiently, further enhancing the company's competitiveness and preparing for future digital transformations and technological upgrades Common AI Technologies Generative Artificial Intelligence, such asOpenAIofGPT、AnthropicandClaudeetc 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-11-15」

這是一張圖片。 This is a picture.
2024 Industry AI Implementation and Diffusion Application Instructions and Application Document Download

Project origin Applications for industry AI implementation and diffusion are accepted In order to accelerate the implementation of AI applications and technologies in industries It encourages companies to produce common solutions based on industry AI technology needs and implementation readiness, combined with appropriate data collection and analysis It helps match innovative AI technologies with industry needs, and gathers together capabilities of AI startups, information service providers, and various industries With hardware pushing the economy and software pulling it forward, the capabilities of international partners are utilized to gradually make industries more intelligent and implement the AI industry, so as to realize the vision of a smart nation Project application 1 Application Category 1 Two subsidy categories were announced "Industrial AI Implementation PoC" and "AI Application Service Verification" Applicants may apply for one category and are not allowed to apply for both categories at the same time 2 Applicants must work with project partners and contractors in the development of AI applications and technologies in coordination with project contents 3 The overall project application categories are shown in the following table Subsidy category Subjects Key points of proposal Government subsidies Category 1 Industrial AI implementation of PoC Company in the field Information service provider Provide AI value-added technology services or solutions for industrial development or common AI technology requirements companies in the field Complete proof of concept PoC and above technology implementation results, and plan subsequent practical applications to drive developments for making industries more intelligent The maximum subsidy for each case is NT15 million Category 2 AI application service verification AI startups Companies in the field Information service provider The company making the proposal has AI technology capabilities and should have clear plans for commercialization and business model The company making the proposal should have clear AI technology, application purposes, and goals for each stage of implementation The company must have a digital foundation and information software and hardware for developing AI technology, and have a proper collection, recording, storage, and management mechanisms for data The company making the proposal plans to develop innovativeforward-looking AI application services, platforms, or products for implementation of AI products, services, or solutions in 2 or more companies inclusive Encourage the use of generative AI technology to develop systems, such as knowledge management, video and audio creation, content generation, product design, and digital twins Complete PoS and above for the implementation of AI technology applications, system verification, and trial operation, and planning of subsequent commercialization to truly achieve AI technology diffusion and benefits from practical application The maximum subsidy for each case is NT4 million nbsp 4 Regarding the subsidy category of the applicant, if the review committee determines that the content of the proposal is more in line with other categories, the executing organizer has the right to adjust the subsidy category of the applicant 2 Eligibility 1 Sole proprietorships, partnerships, limited partnerships, or companies registered in accordance with domestic laws, and shall not be Chinese enterprises announced by the Department of Investment Review, Ministry of Economic Affairs MOEA Note 1 2 The applicant is not blacklisted by banks and has positive net worth Note 2 3 Companies applying for industry AI implementation PoC must cooperate with the service team and the SIG announced for the 2024 AI HUB Project of the Administration for Digital industries, Ministry of Digital Affairs URL of announcement aihuborgtwpost411 , and must complete the guidance form of the SIG before making a proposal 1List of service teams in 2024 1 Northern Taiwan Service Team Institute for Information Industry III 2 Central Taiwan Service Team Tai Chung Computer Association 3 Southern Taiwan Service Team Southern Taiwan Industry Promotion Center 4 AI upgrade service team for information service providers Information Service Industry Association of ROC 2SIG announced for the 2024 AI HUB Project URL of announcement aihuborgtwpost411 Note 1 The determination of Chinese enterprises shall be based on the equity information retrieved from ldquoGet information about businesses registration in Taiwanrdquo of the Administration of Commerce, MOEA or the Directory of Chinese Enterprises in Taiwan of Department of Investment Review, MOEA Note 2 The determination of a company's net worth shall be based on the audit report of the companyrsquos accountants in the most recent year at the time of applicationIf there is no audit report prepared by an accountant, it shall be based on the financial statements in the profit-seeking enterprise income tax return cover page, profit and loss statement, and balance sheetIf the company was registered and established in the year of project application, it may use the capital audit report used for company registration, and the most recent interim audit report prepared by an accountant, or self-prepared financial statements for the month before application if it is a new company that has been established for less than one year, it may use the most recent "Business Tax Return," the most recent number of employees insured on the "Labor Insurance Payment List," and "Taxpayer Tax Violation and Arrears Review Form"If the company's net worth was originally negative and its capital was increased recently, an "electronic scanned file of a third-party accountant certification" within 2 months before the deadline must be provided instead The interim financial statements will show a positive net worth due to the capital increase before project application, and is deemed to comply with the application requirements 3 Application time, application method and contact person 1 Project application deadline The application period is from the announcement date to 115959 am on April 10, 2024 Wednesday the system closes at 120000 noon 2 All applications must be submitted online Please go to the 2024 AI Application Service Development Environment Promotion Project - "Industrial AI Implementation and Diffusion Application" website to complete project application and fill out the application form 1 For application instructions, please visit the application website aisubsidytcaorgtw URL for uploading application documents aitcaorgtw 2 The application period is from the announcement date to 115959 am on April 10, 2024 Wednesday the system will be closed at 120000 noon Please upload scanned files of the required documents in color after affixing seals 3 The information submitted by the project applicant will not be returned regardless of whether it is approved or not or if the company withdraws the application If there are any omissions or errors in the information required for application, the executive organizer will notify the applicant and require the applicant to supplement documents The supplement must be completed within three working days after the notification The applicant will be deemed ineligible for failing to supplement documents Proposal review procedures will only be carried out after the project applicant passes the eligibility review Please refer to "V Important Notes" in the instructions for application procedures 3 Service window TCA Miss Gao 022570-6337 extension 9512 Contact Email yvonnekaomailtcaorgtw Ms Hong 022570-6337 extension 9827 Contact Email jenny_hungmailtcaorgtw Ms Lin 022570-6337 extension 9865 Contact Email yuimailtcaorgtw IV Review Key Points The review committee will review the submitted materials according to the following key points of review and select the best candidates 1 Category 1 Industrial AI implementation PoC Review items Item Description Points allocated Proposal Contents Industry background and pain points Description of the contents and situation of AI application The current status of data collection, readiness and usage for implementing AI Algorithm verification, algorithm evaluation and selection Project implementation schedule and method Description of information security mechanisms 50 Execution ability AI experience and expertise of third-party AI startup, technical unit, or expert Division of labor and operations of the project Companies with patents or technology verification certificates must provide the patent certificate as proof 15 Project benefits Benefits of AI implementation and verification method Output value, implementation, and other benefits including increasing revenue, driving investment, and number of patents 35 nbsp 2 Category 2, AI application service verification Item Description Item Points allocated Proposal Contents Industry background and pain points Comparison of existing products and services with related products in the market such as description of technical innovation description and necessity of using AI technology to add value to products or services AI algorithms and models, process design and implementation instructions Project implementation schedule and method Description of information security mechanisms Marketing plan 50 Execution ability nbspInvolvement of senior management, professionalism of the execution team, and internal resource allocation AI experience and expertise of third-party AI company, technical unit, or expert Companies with patents or technology verification certificates must submit the patent certificate as proof Division of labor and operations of the project Provide customers participating service verification, and the operating process of actual services 15 Implementation benefits AI product or application service specifications Assessment of market competitiveness of AI products or application services Commercialization strategy, business model, and profit sharing mechanism Trial operation of 1 month or longer inclusive during the project implementation period the trial operation report must be provided for the final review The trial operation report contains 1 Validation report of service system2 Service Level Agreement SLA self-assessment results L1-L33 Output value, implementation, and other benefits including increasing revenue, driving investment, and number of patents nbsp 35 nbsp 3 Bonus points If the project applicant meets the following criteria, please attach supporting documents for reference for bonus points during review The applicant has an AI patent or AI technology verification certificate, and submitted the patent certificate as proof During the project period, the applicant expects to cooperate with and expand to customers that are representative of their industry or international enterprises The applicant has signed a MOU or contract with partner companies within the project including AI technology companies or information service providers, field verification companies, and startups To download detailed instructions and documents, please visit the application website aisubsidytcaorgtw Please read the application instructions and important notes carefully before registering If there are any matters not specified herein, unless it is stipulated by the law, the organizer and executive organizer reserve the right to modify and supplement including any changes, updates, modifications to the event, which shall be based on announcements on the application website aisubsidytcaorgtw

這是一張圖片。 This is a picture.
Briefing sessions on application for the 2024 AI implementation subsidies in Northern, Central, and Southern Taiwan will start on March 26

Enterprise AI power, the real power for digital development of the AI industry Sign up now for the Administration for Digital industries 2024 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 This project accepts applications for industry AI implementation and diffusion, in order to accelerate the implementation of AI applications and technologies in industries It encourages companies to produce common solutions based on industry AI technology needs and implementation readiness, combined with appropriate data collection and analysis It helps match innovative AI technologies with industry needs, and gathers together capabilities of AI startups, information service providers, and various industries With hardware pushing the economy and software pulling it forward, the capabilities of international partners are utilized to gradually make industries more intelligent and implement the AI industry, so as to realize 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 NT4 million SubjectsAI startupsinformation service providerstechnology companiesfields that required AI 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 March 26, 2024 Tuesday Southern Taiwan Offline 13301430 Registration at 1300 Conference Room on the 1st floor of the Southern Taiwan Industry Promotion Center1F, No 6, Fuxing 4th Road, Qianzhen District, Kaohsiung City March 27, 2024 Wednesday Central Taiwan Offline 14001500Registration at 1330 Tai Chung Computer Association-903 meeting room9th Floor, No 95-8, Sec 1, Changping Rd, Beitun District, Taichung City March 29, 2024 Friday Northern Taiwan Offline online video conference 14001500Registration at 1330 Conference Room C, 6F, PCBC6F, No 99, Fuxing N Rd, Songshan District, Taipei City nbsp Event Agenda Date Time Duration Agenda Speaker March 26, 2024 Tuesday 13001330 30 minutes Registration Time nbsp 13301335 5 minutes Opening nbsp 13351345 10 minutes Project description and sharing of guidance resources Service team representative 13451405 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14051430 25 minutes General discussion and exchanges QampA All March 27, 2024 Wednesday 13301400 30 minutes Registration Time nbsp 14001405 5 minutes Opening nbsp 14051415 10 minutes Project description and sharing of guidance resources Service team representative 14151435 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14351500 25 minutes General discussion and exchanges QampA All March 29, 2024 Friday 13301400 30 minutes Registration Time nbsp 14001405 5 minutes Opening nbsp 14051415 10 minutes Project description and sharing of guidance resources Service team representative 14151435 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14351500 25 minutes General discussion and exchanges QampA All Please click on the following URL to register now and learn more detailed information and online website Registration website seminarstcaorgtwD15r00761aspx Event ContactTaipei Computer Association 02-2570-6337Miss Gao 9512 Miss Hung 9827 Miss Lin 9865

2024AI應用鬥智賽報名流程
2024 AI Application Competition Must Knows

Purpose of competition Seeing the trend of automation, such as artificial intelligence AI and robots, rapidly spread to countries around the world, and facing the challenges of emerging technologies in the future, Taiwan is currently implementing the "52 Industry Innovation Plan" to drive comprehensive industrial innovation In addition, in response to the needs of industries for digital and intelligent transformation, a full range of relevant talent cultivation training plans have been launched Starting from school education, on-the-job training and employee training, to general AI talents, the "Industry Professional Assessment System" was expanded to closely link training courses to the workplace, and various measures such as the ldquoDigital Innovation amp Governance Initiative DIGIrdquo and the ldquoAI Taiwan Action Planrdquo were launched to enhance the smart technology application skills of industry talents These endeavors aim to reduce the threat that automation brings to the labor market while welcoming new job opportunities created by new technologiesSince the release of ChatGPT at the end of 2022, it has attracted more than 100 million active users around the world in just two months, driving a new production method of using generative AI to automatically create content Given that generative AI has changed how people work and how businesses operate, this trend of generative AI is expected to have a deeper impact on industrial developmentThe competition provide trainings for industry AI professionals, with AI as the core focus, to cultivate industry AI technology integration and innovative application talents, in order to meet the demand on industrial talent Regarding the industry AI talent cultivation model, we encourage cross-disciplinary teams to think openly about the AI needs within industries and companies from the bottom up when facing the popularization of AI, improving the issues faced by the industry by designing AI solutions, and promoting the adoption of AI technology We will simultaneously carry out learning and training activities to enhance the capabilities of domestic AI talent and accelerate the pace of making industries smarter Eligibility I This is a team competition with 2-10 people in each team Duplicate team registration is not allowed, and each team must have one representative However, the representative must be a citizen of the Republic of China ROC and have a permanent address registered in the ROC The representative is responsible for contacting the organizer, confirming competition documents, and other competition-related processes The team representative individual receives awards on behalf of the teamII If any team members are under 20 years old, they must obtain the consent of their legal representative before they may participateIII Problem-solving teams are not allowed to participate in the AI Rising Star Competition under the AI Application Service Development Environment Promotion Project at the same time Violators will be disqualified from both competitions Contest Topic I This competition is open to propositions, and problem-solving teams are asked to focus on application topics related to "generative AI" for example internal AI database of companies - generative chatbot, but not limited to such application proposals Problem-solving teams must make a joint proposal with their partnering requesting unit must be a company or government agency, and team are encouraged to use Taiwanrsquos large language model during implementationII Problem-solving teams may submit up to two proposals Please avoid duplicate technology applications in the two proposalsIII The proposal must be a clear proposal related to the topic of this competition, a project that has not yet commenced tendering procedures, and must not have applied for government budgets Registration Process I All times of the process are estimated times The final schedule shall be based on the announcement on the website The organizer and executing organizer reserve the right to adjust the schedule based on actual needs Competition website aitalentstcaorgtw Prizes I The prize is divided into three levels "Gold award", "Silver award" and "Bronze award," and the rest are honorable mentions Gold Award Silver Award Bronze Award Honorable mention NT 1 million NT 800,000 NT 500,000 NT 200,000300,000 II Any disputes or questions regarding the division of labor or distribution of rights and interests within the proposal team such as bonus collection and distribution shall be handled by the team on its own The organizer and executing organizer will not interfere or get involved in disputes and rulings, such as division of labor or distribution of rights and interests within the teamIII Award winners must pay taxes in accordance with the tax laws of the ROC, and must fill out and submit in accordance with regulations before they may collect the prize Failure to cooperate will be deemed to have abandoned the right Important Notes I The requesting units and problem-solving teams participating in this competition are deemed to have agreed to the competition must knows and rules In the event of any dispute, the organizer and executing organizer reserve the right of final interpretation In the event of any violation, the organizer and executing organizer have the right to disqualify the violator and recover the prize and award, and may make an announcement If any violation of the competition must knows damages the rights and interests of the organizer, executing organizer, or any other third party, the violator shall be liable for damagesII The awards may be flexibly allocated by the panel of judges based on the level of the work and the actual situation If necessary, awards may be "adjusted" or "increased or vacated"III The works entered into the competition and the content provided must comply with laws related to copyright, patent rights, trademark rights, portrait rights, privacy rights, and personal data protection If third party rights are involved, legal authorization from the rights holder must be obtained Plagiarism, counterfeiting, or other infringement of the rights of others is prohibited The problem-solving team will bear all legal liabilities if it is found or reported to have violated the competition must knows, made untrue statements, or infringed on the rights of others The organizer and executing organizer reserve the right to postpone the announcement of award winners until it is confirmed that there is no such disputes over rights or if the objector or rights holder fails to file for a 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 claim after filingIV If the works entered in the competition are confirmed to infringe on the rights of others by the competent authority or through litigation procedures, the organizer and executing organizer may disqualify the award winner and recover the prizeV The intellectual property rights of the research and development results completed by the problem-solving team, submitted works, proposal, proposal briefs, case closure reports, and case closure brief belong to the problem-solving team However, the problem-solving team must agree to authorize the organizer and executing organizer to use its research and development results, submitted works, proposal, proposal brief, case closure report, and case closure brief free of charge for the purpose of promoting this event nbspwithout any constraints on region and in a non-profit manner, including but not limited to taking or providing relevant photos and videos to record relevant activities, and using, editing, printing, displaying, publicizing, reporting, publishing, or disclosing their results in the competition, personal portraits, names, and voices Where slander of moral rights is not involved, problem-solving teams may not exercise moral rights against the organizer and executing organizer VI Based on the administrative management involved in the implementationhandling of this project, registration management, notification and contact, activity information release, prize disbursement, questionnaire survey, statistical analysis, or other activity information provided by the projectrsquos executing organizer, the organizer and executing organizer may collect, process and use the personal information of problem-solving team membersVII 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 executing organizer may disqualify the applicant from participating in the evaluation and winning awards All members of the problem-solving team shall bear the legal liabilities for any damages to the rights and interests of the organizer, executing organizer, or any other third partyVIII In accordance with Article 3 of the Personal Data Protection Act, members of the problem-solving team may make requests to the organizer and executing organizer to inquire, request copies, supplement or correct, or cease collection, processing or use of personal information provided for this competition, and may also request that the personal information be deleted, except for information that must be retained according to law If this affects the rights to participate in the evaluation or win awards, members shall be solely responsibleIX The requesting unit and the problem-solving team agree to maintain the confidentiality of the trade secrets and other confidential information of the organizer, executing organizer, or other parties including requesting units that they learn or hold due to participation in this competition, and shall neither leak or disclose it to any third party in any way, nor use the information for their own benefit or that of others In the event of a a violation of this confidentiality agreement, the organizer and the executing organizer have the right to terminate cooperation, disqualify the violator from participating in the evaluation or winning awards, and recover the prize Violators shall also be liable for damages Violations by employees shall also be deemed as a violation by the teamnbspX If the requesting unit expressly provides a confidentiality agreement or other cooperation matters in the problem, the problem-solving team's application for problem solving will be deemed as agreeing to the conditions provided by the requesting unitXI All teams that are selected must cooperate with the organizer and the executing organizer in evaluation, commendation, subsidies, and media interviews and reports, and must cooperate with the organizer and the executing organizer in follow-up performance trackingXII The team representative individual must collect the award on behalf of the team The representative must be a citizen of the ROC and have a permanent address registered in the ROCXIII Award winners must pay taxes in accordance with the tax laws of the ROC, and must fill out and submit in accordance with regulations before they may collect the prize Failure to cooperate will be deemed to have abandoned the rightXIV Any disputes or questions regarding the division of labor or distribution of rights and interests within the problem-solving team such as bonus collection and distribution shall be handled by the team on its own The organizer and executing organizer will not get involved in disputesXV Problem-solving teams are not allowed to participate in the AI Rising Star Competition under the AI Application Service Development Environment Promotion Project at the same time Violators will be disqualified from both competitionsXVI The rights and obligations of this competition may not be transferred without the written approval of the organizer, executing organizer, and other team membersXVII Problem-solving teams that participate in this competition and pass the problem-solving qualification review must agree to give the requesting unit priority for technologies or services Requesting units may not use technologies or services of the problem-solving team without consent from the problem-solving team for cooperation The proposals and briefs of problem-solving teams participating in this competition may not be used without the consent of the organizer and executing organizerXVIII 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 vacated or addedXIX If the problem-solving team engages in inappropriate behavior, remarks, or makes false accusations against the competition, the competition reserves the right to disqualify the problem-solving team from competing and winning awardsXX The 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 The project office retains the right of final interpretation and the right to change and terminate the competitionXXI The organizer and executing organizer reserve the right of final interpretation of the competition must knows and the interpretation and application of various rules Any disputes will be handled in accordance with the laws of the ROC, and Taiwan Taipei District Court shall be the court of first instanceXXII If there are any matters not covered in the competition must knows, unless otherwise stipulated by the law, the organizer and executing organizer reserve the right to modify and supplement including postponing the competition, terminating the competition, or adjusting the competition mechanism Please refer to the announcement on the website of this competition Competition contact person Taipei Computer Association TCAOptimization Service Group, Smart Industry Service CenterMs ZhangEmail jen_changmailtcaorgtw Tel 02 2570-6337 9925 For more information, please see 2024 AI Application Intelligence Competition Website aitalentstcaorgtwHomeContestDescription

這是一張圖片。 This is a picture.
2024 AI+ Rookie Selection Competition Instructions

Origin of competition With the massive data from the Internet of Things, the increasing maturity of chip technology, and the continued evolution of algorithms, artificial intelligence AI related applications have attracted great attention and become a major technology worldwide AI has become a key indicator of the future digitalization of human society, and competition for AI-related patents and intellectual property rights is rapidly becoming more severe in various industriesIn response to the "AI Taiwan Action Plan" of the Executive Yuan, the Administration for Digital industries ADI, Ministry of Digital Affairs MODA is dedicating its efforts to the "AI Application Service Development Environment Promotion Project," and encourages information and communications technology ICT companies to cooperate with AI technology companies through the competition and matching platform Deploying AI and edge computing products in hopes of developing AI technologies and applications that meet market needs The ADI hopes to produce more innovative value-added products or services to lead the internationalization of Taiwanrsquos diverse AI applications Purpose of competition The purpose of the "2024 AI Rising Star Competition" is to bring together domestic technology companies hereinafter referred to as ldquoRequesting Unitsrdquo and AI technology companies hereinafter referred to as ldquoProposal Teamsrdquo to jointly develop innovative AI value-added products or services guided by market demand, thereby achieving the purpose of guiding AI technology companies, and deepening cooperation results between Requesting Units and Proposal Teams in AI value-added products or services This will further achieve the goals of "internal and external cooperation, accelerating research and development" and "trials in Taiwan for going global" Description of competition mechanism and qualifications This project uses a competition to gather together Requesting Units and Proposal Teams to facilitate RampD and cooperation in technology and application between AI supply and demand sides Requesting Units prepare topics based on their needs to implement AI in their products and servicessupply chainrelated industry fields Proposal Teams with AI technologies will then make proposals, and the Requesting Unit will provide guidance and assistance to the Proposal Team to jointly carry out a problem-solving plan I Application to become requesting unit I Eligibility all of the conditions below must be met 1 Domestic enterprises Locally registered sole proprietorship, partnership, limited partnership, or company2 Foreign enterprises A locally recognized foreign company with a track record in RampD and registered a branch in the Republic of China ROC or a subsidiary registered locally by a foreign company that has a track record in RampD3 The above-mentioned organizations should have clear needs and have innovation guidance capabilities eg, the company has an innovation service development unit, and should have a project liaison who can cooperate in attending various conferences and competition-related activities, and also provide the Proposal Team with development resources such as hardware, training materials, and computing resources II Matters requiring cooperation in the topic guidance stage 1 Requesting Units provide the "Statement on Enterprise Verification Requirements," and then the AI requirements put forward by Requesting Units are collected and submitted to the project office2 The project office invites expert committee members to conduct review for the competition, and sends the AI problems of Requesting Units to the committee members for evaluation and to provide correction suggestions or guidance for adjustments3 Topics that have been evaluated and approved by the committee members will be disclosed on the project website for startup teams to evaluate submissions4 The Requesting Units must agree to the obligation to cooperate with the organizer's event needs, and be fully responsible for the content provided The participation of Requesting Units may be used for publicity and promotion purposes5 Requesting Units must appoint project liaisons at least 2 people who will focus on topics content revision and interpretation, attending competition-related activities including but not limited to request matching briefings, review meetings, and results presentations, and other liaison matters to facilitate the implementation of this project III Matters requiring cooperation in the matching and verification stage 1 Participate in the request matching briefing Requesting Units attend the briefing to explain the contents of the topic and answer questions from Proposal Teams, so that both parties to clearly understand the direction of cooperation in the verification stage2 Requesting Units must provide topic-related resources and guidance to help Proposal Teams carry out RampD, training, implementation, and complete problem solving IV Application process for requesting units Step 1 Online registration seminarstcaorgtwD15r00688aspx Step 2 Download the attachment from the competition website aicontesttcaorgtw 1 nbsp nbspConsent Form for Competition Requirements Provided by Requesting Units Attachment2 nbsp nbspPersonal Information Consent Form Attachment3 nbsp nbspStatement on Enterprise Verification Requirements please go to the Download section of the competition website to download4 nbsp nbspVerification Requirements Brief please go to the Download section of the competition website to download Step 3 Mail the 4 files in Step 2 Consent Form for Competition Requirements Provided by Requesting Units Attachment, Personal Information Consent Form Attachment, Statement on Enterprise Verification Requirements, and Verification Requirements Brief the form of electronic files scan after affixing seal to the designated e-mail address Contact Email una_changmailtcaorgtw II Competition team proposal application 1 Team proposal qualifications all of the conditions below must be met 1 Businesses 1 Sole proprietorships and partnerships legally registered in Taiwan after January 1, 2016 within the past 8 years2 Not blacklisted by banks and no record of dishonored check within the past year3 Not a Chinese enterprise according to the latest Directory of Chinese Enterprises in Taiwan published by the Department of Investment Review, Ministry of Economic Affairs 2 Domestic colleges and universities with AI-related research centers there is no limit on the number of years it was established, but the Proposal Team be from its AI or IoT-related research centers Once selected, Proposal Teams must complete specified matters before the final review to receive the prize 3 Has core development capabilities to provide products or services through image recognition, natural languagespeech, algorithms, data analysis and other AI technologies, such as machine learning, deep learning, and neural networks II The Proposal Team must complete the following within the specified time based on the competition topic proposed by the Requesting Unit Step 1 Online registration competition website aicontesttcaorgtw Step 2 Download the attachment from the competition website 1 Proposal Team Participation Agreement Attachment2 Personal Information Consent Form Attachment3 Proposal brief please go to the Download section of the competition website to download the format Step 3 1 Upload the 3 files in Step 2 and the companyrsquos related supporting documents to the system2 The companyrsquos related supporting documents A The company registration certificate including change registration cardB Proof that the company is not blacklisted by banks and has no record of dishonored check within the past year must be affixed with seal III The team must select 1 proposal, and can make up to 2 proposals one proposal each for two different Requesting Units, and the number of proposals accepted is limited to 1 proposal Proposal teams participating in this competition are not allowed to participate in the AI Application Competition under the AI Application Service Development Environment Promotion Project at the same time Violators will be disqualified from both competitions 1Note 1 Based on the equity information retrieved from ldquoGet information about businesses registration in Taiwanrdquo of the Administration of Commerce, MOEA or the Directory of Chinese Enterprises in Taiwan of the Department of Investment Review, MOEA 2Note 2 If a finalist is an AI research center on campus, it must complete any of the following items before the final review in order to receive the prize 1 Complete company registration or business registration within the territory of the ROC and provide relevant supporting documents 2 Sign an advance offer or letter of intent with Requesting Unit 3 Sign a patent technology transfer authorization contract with the Requesting Unit Please see the attachment for detailed instructions on registration methods and procedures, evaluation methods, reward methods, and important notes of the competition

這是一張圖片。 This is a picture.
2024 Industry AI Special Interest Group (SIG) Shortlist

Based on the vision and goals of the Executive Yuan's "AI Taiwan Action Plan," creating an environment for developing application services AI HUB and linking supply and demand resources will facilitate cross-sector and cross-industry co-creation to drive the development of AI in industries We hope to provide guidance to drive AI upgrade and transformation of related local industries, and jointly create a blueprint for the development of AI in industries by organizing an industry AI special interest group SIG with associations The project held the Industry AI SIG selection meeting on February 23 and 27, 2024 The associations selected into the SIG are as follows In the order of number of strokes Foreword Proposal unit 1 General Chamber of Commerce of the Republic of China 2 Chinese Robo-Advisor Association 3 Importers and Exporters Association of Taipei 4 Alliance of Taiwan Foodbanks 5 Taiwan Aerospace Industry Association 6 Digital Solutions Multimedia Asia 7 The Global Logistics amp Commerce Council of Taiwan 8 Taiwan e-commerce amp Startup Association 9 Taiwan Association for Medical Informatics 10 Medical Image Standards Association of Taiwan

這是一張圖片。 This is a picture.
2024 AI Application Service Development Environment Implementation Project_Online Briefing Meeting on Selection into the Industry AI SIG

Taiwan currently faces challenges and opportunities brought by the digital economy era This project will select 10 industry associations to accelerate the upgrade and transformation of various industries through AI We hope to provide guidance to drive AI upgrade and transformation of related local industries, and jointly create a blueprint for the development of AI in industries by organizing an industry AI special interest group SIG together with the associations, facilitating industry applications to assist industries with digital transformation Subjects Associations registered as a legal person in accordance with domestic laws and regulations or other associations established with the approval of the competent authority Event information Date Method Time Registration Link 11321 Thursday Online Webex 1430-1530 Registration at 1410 Or Online registration link for the 2024 Industrial AI Promotion Working Group SIG Selection Information Session To facilitate communication, online participants are kindly requested to change their user name to "unit_name_title " Event Schedule Time Length Agenda 14101430 20mins Online registration 14301500 30mins Project Introduction and SIG Application Explanation 15001530 30mins QampA exchanges and discussion 1530 - End nbsp EventnbspContact nbsp Taipei Computer Association, 02-2570-6337 9527 Ms Chang Please read the application instructions and important notes carefully before registering If there are any matters not specified herein, unless it is stipulated by the law, the organizer and executive organizer reserve the right to modify and supplement including any changes, updates, modifications to the event, which shall be based on announcements on the project website aisubsidytcaorgtw

這是一張圖片。 This is a picture.
2024 Industry AI Special Interest Group (SIG) Application Must-knows

Introduction Based on the core technology and research and development RampD capabilities of Taiwanrsquos information and communications technologies ICT industry, the demand of niche markets will be vertically integrated in the future to accelerate the development of an artificial intelligence AI service ecosystem, and encourage Taiwanese companies to enter the global AI system value chain, which will continue to strengthen the development of Taiwan's information and digital industries The application service development environment AI HUB is linked to supply and demand resources and facilitates cross-sector and cross-industry co-creation to drive the development of AI in the industry We hope to provide guidance to drive AI upgrade and transformation of related local industries, and jointly create a blueprint for the development of AI in industries by organizing an industry AI special interest group SIG with associations, facilitating industry applications to assist industries with digital transformation Application requirements I Eligibility 1 The proposal unit is an association that has been registered as a legal person in accordance with domestic laws and regulations or other units established with the approval of the competent authority 2 The proposal unit must be willing to cooperate with the service team included in the 2024 AI HUB project of the Administration for Digital industries ADI, Ministry of Digital Affairs MODA Both parties intend to jointly encourage the industry to implement AI technology applications, and help the industry quickly enter the stage of AI upgrading and transformation List of service teams in 2024 nbsp nbsp nbsp nbsp 1 Northern Taiwan Service Team Institute For Information Industry III nbsp nbsp nbsp nbsp 2Central Taiwan Service Team Tai Chung Computer Association nbsp nbsp nbsp nbsp 3Southern Taiwan Service Team Southern Taiwan Industry Promotion Center 3 Be familiar with the development of AI applications in the industry and take stock of member AI readiness, and be able to properly complete the work of the Industry AI SIG II Contents Encourage companies to develop AI solutions through the application of AI technologies in coordination with the projectrsquos overall direction for implementing industry AI, and create AI application examples through field trials The 2024 Industry AI SIG Application Must Knows does not set an industry theme The industry association that submitted the proposal will check "First time applicant" or "Previously selected" Those that are selected into the Industry AI SIG must additionally explain the development blueprint and implementation items of AI applications in the industry, take stock of the current status of AI applications, the results and subsequent diffusion of the AI implementation, verification, and guidance items selected for the year, and plan the subsequent diffusion and market planning for the items III Application process Please supplement the documents within one working day after notification IV Application timetable The organizer reserves the right to adjust the above schedule Applications for the project must be submitted online Please make sure to complete the electronic registration and submit the documents before 1200 on February 19, 2024 Monday Contact information V Required Documents Project application form see the attachment for the format Scanned file of association legal person registration certificate proof of registration Proposal brief see the attachment for the brief format VInbspImplementation Work The applicant must sign a cooperation contract with its service team after being selected into the Industry AI SIG Provide a list of 20 requesting units that may be visited for diagnosis, and be present during the visits and diagnosis Organize 2 sharing or symposium exchange events At least 10 companies must attend each event Provide information related to the industry ecosystem as a blueprint for industrial development Assist in facilitating 3 to 4 cases limited to 4 cases, recommend the industry AI implementation, verification, and diffusion proposals of companies, and follow up on the implementation status of companies Assist companies with improving the contents and presentation of project reports, clarify and respond to review opinions of committee members proposal tasks Note 1, mid-term report, final tasks Note 2 Assist in arranging on-site visits to companies and display the highlights of results Assist in investigating the current status of AI development by related companies in the industry Report on implementation results and briefings in coordination with project implementation, and perform tasks related to the AI HUB Note 1 Proposal tasks - Assist in aspects proposed by committee members, such as key points of AI technology applications, data collection, AI algorithm description, and specific industry benefits Note 2 Final tasks - Assist in aspects proposed by committee members, such as the contents of the checkpoint document is too simple, the KPI is inconsistent, or actual implementation results are not clearly explained VII Important Notes Personal data regulations The collection, processing, and use of personal data by the applicant to implement this project must comply with the Personal Data Protection Act and other relevant laws and regulations None of the documents submitted for application will be returned to the applicant, regardless of whether the application passes or fails review All application documents must be typed When the executing organizer reviews proposal documents and finds that the content is unclear, inconsistent, obvious typing errors, or signature errors, it may notify the applicant to provide an explanation to confirm the correct content Review committee members will review the application brief The applicant must personally attend the review meeting to give a briefing Failure to attend without a legitimate reason will be deemed as forfeiting VIII Review Items and Standards The review committee will review the submitted materials according to the following key points of review and select the best candidates nbsp

這是一張圖片。 This is a picture.
List of AI Technology Service Organizations Approved for Registration in the Second Phase of 2023

For more details, please see Go to the CISA website 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
[2023#18] Encapsulation Key Process - Wafer Grinding Equipment Performance AI Anomaly Detection System Establishment

Industry Manufacturing CMajor Categories Other Manufacturing 33 categories Industry Pain Points Cost Management Facing cost pressures in areas such as raw material costs, labor costs, and equipment investments, businesses need to effectively manage costs to improve production efficiency and resource utilization to maintain profitability Quality Control Involving complex manufacturing processes, it is necessary to ensure that product quality meets standards and customer expectations, as well as efficient control systems and processes to monitor and improve product quality Supply Chain Management Involving raw material procurement, production coordination, and product distribution, the management and coordination of the supply chain must handle multiple suppliers and partners to ensure smooth production operations and timely product delivery Market Competitive Pressure Facing competitors from both domestic and international markets, it is necessary to maintain a competitive advantage in terms of price, quality, innovation, and marketing strategies Technical Innovation and Product Design With the constant changes in market demand and technological advancement, ongoing technological innovation and product design are necessary to provide competitive products and solutions IntroductionAIBenefits Quality Prediction and Improvement By analyzing a large amount of production data and quality measurement results, predictive models are established to predict equipment quality and performance, identify potential problems early, and make targeted adjustments to production parameters to achieve higher quality standards Fault Detection and Preventive Maintenance By analyzing equipment operation data, monitoring equipment status and performance indicators, and predicting possible faults, proactive equipment maintenance and care can be performed to avoid production interruptions and quality issues, reducing maintenance costs and improving production efficiency Optimization of Production Parameters By analyzing various parameters in the operation of equipment, such as pressure, speed, and temperature, the best combination of production parameters is identified to achieve higher quality control Automation and Intelligent Production Achieving automation and intelligent control of equipment, thereby improving production efficiency, reducing labor costs, and ensuring the stability and consistency of the production process Quality Traceability and Provenance Saving related data for every semi-finishedfinished product manufacturing process to enhance the traceability and quality assurance of production Common AI Technologies or Applications Support Vector Machines, Random Forest, Long Short-Term Memory Networks Artificial intelligence technologies like support vector machines, random forests, or long short-term memory networks can autonomously learn the best equipment parameter settings and operation strategies to improve production efficiency and quality control Support Vector Machine In quality management, artificial intelligence such as the support vector machine algorithm can be used to analyze equipment production data, such as temperature, pressure, vibration, etc, to build models and predict product quality Random Forest In fault prediction and preventive maintenance, artificial intelligence such as the random forest algorithm can analyze the historical data of equipment, such as temperature, pressure, vibration, etc, to establish models and predict the probability and causes of equipment failures, helping businesses to plan maintenance Convolutional Neural Network Using artificial intelligence such as the convolutional neural network algorithm, image classification and defect detection can be performed to quickly identify and analyze defects and anomalies on the surfaces of semi-finishedfinished products 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
【2023#20】Taiwan Music Industry and Multilingual AI Anchor Robot Implementation Plan

Industry Publishing, Audiovisual and Information Communication Industry JMajor Category Information Services Industry 63 sub-categories Industry Pain Points Digital Music Piracy and Copyright Protection With the prevalence of digital music distribution, piracy and infringement issues are becoming increasingly severe Income Distribution and Fair Compensation The emergence of music streaming media platforms has sparked issues regarding the distribution of income for artists and music producers in the digital environment Innovation and Business Model Transformation Rapid technological advancements have changed the patterns of music creation, dissemination, and consumption, necessitating continuous innovation and new business models Market Competition and Brand Building Strategies such as brand building, market positioning, and promotional strategies are vital for distinguishing one’s music brand among many competitors to become an influential and competitive brand Internationalization and Global Market Expansion Facing challenges such as language, cultural and market differences, a strategy to develop international markets and establish a globalized music brand and marketing strategies is essential IntroductionAIBenefits Personalized Recommendations and Precise Targeting Analyze user behavior to provide personalized music recommendations and precise market targeting, enhancing user experience, loyalty, and consumption probability Accelerate Music Creation and Production Automatic music creation, synthetic music, and lyric generation as creative auxiliary tools for music creators and producers, improving efficiency, reducing costs, and introducing new musical styles and sounds Copyright Management and Tracking Manage copyrights and track infringements on digital music platforms to protect the copyright interests of music creators and rights holders Music Market Trend Analysis Analyze extensive music data to identify market demands, predict trends, provide in-depth insights, and make strategically informed business decisions Enhance Innovative Experiences Create virtual singers and performers, offering unique musical and visual experiences, expanding the possibilities of music creation, attracting more audience and fans, and increasing revenue sources Common AI Technologies or Applications Content and Collaborative Filtering Use AI like content and collaborative filtering algorithms to analyze users' music preferences, playlists, and behavioral data, offering personalized music recommendations, increasing user stickiness, improving user experience, and promoting music consumption Convolutional Neural Networks Use AI algorithms like convolutional neural networks to recognize images in music covers, posters, and music videos, and integrate them with augmented reality technologies to offer a unique interactive and entertainment experience Convolutional Neural Networks, Recurrent Neural Networks Use AI technologies such as convolutional neural networks to analyze music scores, and recurrent neural networks to analyze tunes, identifying musical impacts on listeners’ emotions, and adjusting marketing strategies and music production directions Generative AI Utilize natural language processing technologies to analyze lyrical text data, incorporating generative AI like pretrained transformers for lyric generation, providing creative inspiration for creation and marketing Additionally, use Generative Adversarial Networks GANs to produce new musical works, simulating different styles and genres of music, and exploring new musical styles and sounds 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
Shin Kong Mitsukoshi Introduces Yuhui AI Search Engine in 2023

Industry Wholesale and Retail Business GMajor Category Retail Subcategory 47 Industry Pain Points High market competition pressure Businesses must face challenges from traditional physical stores and online e-commerce to gain competitive advantages, requiring continuous optimization in pricing, product diversity, shopping experience, and service quality Slow pace of digital transformation With the rapid progress of technology, consumer shopping patterns have undergone significant changes, such as the rise of e-commerce reshaping the traditional retail industry Department stores should carefully integrate online and offline sales channels to ensure a consistent and superior shopping experience for consumers Inventory management and supply chain need integration Businesses need to manage large inventories precisely to ensure smooth supply and rapid product delivery Lack of personalized shopping experience Generation Z, digital natives, particularly value the shopping experience, including the usability and search functions of platforms and apps Insufficient information security protection With the increase in massive data and online transactions, protecting consumers' personal data and payment security has become a primary task for businesses IntroductionAIBenefits Personalized consumer recommendations By analyzing consumers' purchase history, preferences, and behavior patterns, businesses can provide personalized product recommendations, enhancing consumer satisfaction and purchase intent Virtual fitting and realistic experiences Using technologies like virtual fitting rooms and virtual reality to provide consumers with realistic shopping experiences online This can reduce the time spent in physical fitting rooms and decrease the demand for them Enhancing cross-selling success rates Based on consumers' purchase records and behavior patterns, offering relevant cross-selling suggestions can increase the shopping frequency and enhance transaction value Virtual assistants and automated response services By deploying virtual assistants, chatbots, and automated response systems, businesses can provide consumers with real-time customer support, while also effectively saving on human resource costs Consumer market insights and trends By analyzing large volumes of data, businesses can gain consumer insights and market trends, helping to optimize merchandise display, marketing strategies, and inventory management, and further enhancing sales performance and profits Common AI technologies or applications Random Forest, Recurrent Neural Networks With AI algorithms such as random forests or recurrent neural networks, by analyzing historical data such as browsing, clicking, and purchasing, businesses can identify important consumer trends and patterns, and capture consumer behavior patterns over time, helping to more accurately predict future consumer trends Collaborative filtering, content filtering Using AI techniques like content filtering or collaborative filtering, consumer behavior and preferences can be analyzed to provide personalized product recommendations Recurrent Neural Networks, Natural Language Processing, Generative AI Employing AI technologies such as recurrent neural networks combined with natural language processing for voice recognition and natural language understanding, deriving consumer insights and emotional tendencies also using generative AI like generative pre-trained transformers to develop virtual assistants or chatbots, providing real-time customer support and personalized services, available 247 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
【2023#17】AI Defect Detection Intelligence - Reducing Process Energy Consumption through Smart Monitoring Solutions

Industry Manufacturing CCategory Electronic Components Manufacturing 26 subcategories Industry Pain Points Innovation Pressure Rapid technological changes and the emergence of new components and technologies necessitate ongoing RampD and innovation to keep pace with market demands and technological trends Intense Competition The global presence of numerous manufacturers and suppliers requires companies to maintain competitive advantages in technology, quality, cost, and delivery times Cost Pressure Producing high-quality electronic components requires substantial RampD, equipment, and production costs Fluctuating raw material prices and rising labor costs also pressurize businesses Supply Chain Management Managing a supply chain becomes complicated when it involves multiple countries and regions, including raw material suppliers, manufacturers, and distributors Human Resources and Skill Shortages The requirement for highly skilled and knowledgeable personnel often faces imbalances and shortages in talent and skills IntroductionAIBenefits Efficient Quality Control and Inspection Automated detection of defects and non-conformities enhances product consistency and quality levels, reducing waste and recovery costs Preventive Maintenance Monitoring the performance and state of manufacturing equipment to predict potential failures and preemptively conduct maintenance, reducing downtime and production interruptions, enhancing equipment utilization and efficiency Process Optimization Analyzing large volumes of data from the manufacturing process to identify optimal process parameters and workflows, boosting efficiency, lowering costs, and enhancing product quality Quality Traceability and Provenance Recording each component's manufacturing details and related data from raw materials to the final shipped product ensures traceable quality, enhancing brand reputation and competitive edge Demand Forecasting Analysis Analyzing extensive manufacturing and quality data to predict production conditions, product reliability, and demand trends, allowing businesses to make more accurate production planning and resource allocation, reducing inventory and production costs Common AI Technologies or Applications Support Vector Machine, Random Forest Artificial Intelligence such as Support Vector Machine and Random Forest are appropriate for analyzing data in surface mount technology components production, optimizing parameters like temperature to predict yield rates Support Vector Machine is a good choice for smaller data volumes, while Random Forest is better suited for larger data volumes Additionally, Random Forest has a technical advantage in identifying abnormal conditions in surface mount device equipment such as vibrations Random Forest, Convolutional Neural Network, Long Short-Term Memory Network Employing Artificial Intelligence such as Random Forest, Convolutional Neural Network, or Long Short-Term Memory Network can effectively identify failure modes and abnormal signals from monitoring data to predict possible failures, facilitating timely maintenance and repairs, reducing downtime and maintenance costs Convolutional Neural Network Using Artificial Intelligence like Convolutional Neural Network algorithms to analyze and process imagery and video data of surface mounted components in the manufacturing process, automatically identifying product defects 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
【2023#16】Deep Learning and Intelligent Customer Service AI Technology Application Plan at Kaohsiung Howard Hotel

Industry Accommodation and Food Services IMajor Category Accommodation Industry Subcategory 55 Industry Pain Points High Seasonal Demand Fluctuations Certain periods may experience decreased customer base and performance decline during low season Intense Competition The presence of numerous hotels, inns, and restaurants in the market requires operators to continuously innovate and enhance service quality to maintain competitiveness Significant Human Resource Demand The industry generally faces challenges with human resource shortages and high turnover Recruiting and retaining excellent staff, as well as providing appropriate training and career development, are key challenges High Costs and Profit Pressure Price competition and rising costs, including rent and labor costs, put pressure on profit margins Digital Transformation Pressure The need to keep up with technology and digital transformation, introducing new technologies and systems to improve efficiency, service, and cater to digital demands of customers Online Reviews and Reputation Management Affected by social media, managing reputation and addressing negative reviews is a challenge, demanding proactive response and improvements in customer satisfaction IntroductionAIBenefits Increased Efficiency Automating many tedious processes such as reservation management, inventory control, and supply chain management, thereby increasing operational efficiency and cost-effectiveness Personalized Services Analyzing data to understand customer preferences and behavior patterns to offer personalized services and recommendations, thus enhancing customer satisfaction, repeat visits, and word-of-mouth effects Prediction and Demand Management Analyzing data and predicting demand trends to optimize inventory management, workforce scheduling, and pricing strategies, fulfilling customer needs and increasing revenue and profits Virtual Assistants and Chatbots Providing immediate customer support and interaction, enhancing customer satisfaction, saving on labor costs, and improving service efficiency Sentiment Analysis and Context Identification Analyzing customer reviews and social media content to identify emotional tendencies and contexts, understanding and responding to customer needs, improving service quality Monitoring and Preventive Maintenance Monitoring the status and performance of equipment, early detection of faults, and performing preventive maintenance to reduce downtime, improve asset performance, and save on maintenance costs Common AI Technologies or Applications Content Filtering, Collaborative Filtering Using AI such as content filtering or collaborative filtering algorithms to analyze customer preferences and behavior data, providing personalized recommendations and suggestions, increasing customer engagement, enhancing the consumer experience, and boosting customer loyalty Generative Artificial Intelligence Using natural language processing to analyze and understand customer text comments, social media, and online reviews, extracting sentiments, opinions, and keywords to help businesses rapidly identify and respond to customer needs utilizing generative AI like pretrained transformers for answering common questions, making suggestions, handling bookings, providing real-time customer interaction and support, saving labor costs, and enhancing customer experience Random Forests, Long Short-Term Memory Networks Using AI such as random forests or LSTM to analyze extensive sales data, predicting future product demands to better arrange inventory 卷積神經網路：使用人工智慧如卷積神經網路，可以識別和分析如食物、場景和設施等圖片和影片中的內容，用於菜單管理、餐點辨識、客房清潔檢查等項目，提高工作效率和品質控制。 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

rows
Rows：330, 22 pages