Special Cases

【導入案例】救命急如星火 AI病危系統監測掌握黃金搶救期
12
2021.10
【2021 Implementation Case】 Life-saving is as urgent as a spark AI critical illness system monitors and grasps the golden rescue period

60-year-old Mr Huang was admitted to the hospital due to a stroke After lying in the intensive care unit for two weeks, his condition suddenly took a turn for the worse After rescue, he was lucky enough to survive In fact, with the assistance of AI critical illness early warning technology, hospitals can detect signs and take timely and accurate medical measures 6-8 hours before a patient's heart stops, which can greatly reduce the chance of death in the hospital The deterioration of the condition is a process that evolves over time, and its subtle changes are by no means without context Previous research reports show that about 60 to 70 of inpatients who experience unexpected in-hospital cardiac arrest had symptoms 6 to 8 hours before their cardiac arrest, but only a quarter of them were recognized by clinical staff Detection and discovery, therefore, there is a need for a risk warning tool or system that can be used earlier and continuously to monitor the condition, alert medical staff to pay attention to subtle changes in the patient's condition at any time, and take timely and accurate intervention measures before the condition progresses to effectively reduce adverse events or the risk of serious adverse events Unexpected deterioration cannot be detected early Acute and severe patients often undergo unpredictable changes, and timely detection or prediction of potential acute and severe patients is an important issue The currently commonly used clinical assessment method is Modified Early Warning Score MEWS, which uses simple physiological parameter assessment including heartbeat, respiratory rate, systolic blood pressure, body temperature, urine output and state of consciousness to screen out high-risk patients, and has been proven to be predictive Patient clinical prognosis MEWS is a scoring mechanism with a single time point and a standardized formula However, the AI crisis warning system developed by Boxin Medical Electronics - Hospital Emergency and Critical Care Early Warning Index System EWS is designed to predict patient status with immediate response , collect the physiological data of patients over time for deep learning, find the best prediction model, and improve the overall accuracy Boxin Medical Electronics uses a big data analysis model to build an early warning system EWS, IoT Internet of Things and 5G communication technology, allowing medical staff to remotely monitor the physiological status of patients through communication equipment, and monitor emergency and severe cases quickly The patient's condition changes and the golden rescue period of 6-8 hours before cardiac arrest can be grasped After Boxin Medical Electronics introduces AI visual interpretation, unmanned operation can greatly reduce medical manpower The AI technology developed by Boxin Medical Electronics is the Gradient Boosting Ensemble Learning System GBELS to build an early warning system It is a learning-based EWS prediction algorithm developed by the company, which is an integrated learning Ensemble Learning and is classified as supervised learning, providing the following three functions 1 Early warning risk notification is used to analyze representative data using GBELS to provide an early risk score so that medical staff can conduct immediate clinical assessment and provide appropriate medical treatment 2 Reduce medical manpower Collect continuous physiological monitoring data, such as heartbeat, respiration, blood pressure and blood oxygen concentration, etc, to reduce the time for medical staff to write cases 3 Combine IOT logistics network and 5G communication technology to quickly transmit medical data such as monitoring parameters and imaging data, and assist medical staff to monitor changes in patients' condition remotely through communication equipment AI critical illness system monitoring to master the golden treatment period Boxin Medical Electronics stated that assessing the severity of the disease in acute and severe patients is a complex task, and patients often experience unpredictable changes Clinical medical staff often judge the condition based on their own clinical experience or intuition, which lacks science and objectivity, resulting in the inability to correctly identify and timely detect potentially acute and severe patients, resulting in or misdiagnosis leading to increased in-hospital mortality of patients The introduction of an AI early critical illness warning system can assist emergency and critical care medical staff to correctly predict the patient's condition and allow patients to receive the care they need immediately This can reduce the manpower arrangement of the emergency and critical care ward at the same time and reduce labor costs In addition, the easy-to-carry design will help the system be introduced into ambulances, home care and other places in the future, so that emergency patients can receive appropriate care earlier Other departments within the hospital can also develop new applications around this system, which can effectively accelerate the development and promotion of smart medical technology With the COVID-19 epidemic still raging in many countries around the world, this system can also help hospitals in various places to operate more effectively Caring for and monitoring the condition of critically ill patients In addition to AI critical illness warning, Boxin Medical Electronics has also developed AI image interpretation - Medical Physiological Monitor Life Cycle Compliance Testing AVS, which uses AI image interpretation technology to develop automated quality inspection of life support medical equipment The instrument solves the time-consuming problem of medical instrument testing It can reduce testing time by 70, increase the number of tests by 3 times, and effectively reduce labor costs by 50 At the same time, it is 100 compliant with regulatory requirements, and gradually solves the shortage of manpower and medical resources in the medical field , medical work overload and other issues It has now taken root in mainland China and is actively preparing for its launch in Europe It will develop towards the Japanese and American markets in the future Boxin Medical Electronics develops AI image interpretation-medical physiological monitor life cycle compliance testing AVS to solve the time-consuming problem of medical instrument testing and can reduce testing by 70 time At this stage, Boxin Medical's smart medical technology has been introduced into medical hospitals including Hsinchu MacKay, Changkei, Dongyuan General Hospital, Kaohsiung University of Technology Affiliated Hospital, Zhenxin Hospital, Hsintai Hospital, Taipei Medical University Affiliated Hospital, etc GE HealthcareInc, an internationally renowned medical materials manufacturer, and Mindray Medical, China's largest medical materials manufacturer, are both representative customers of Boxin Medical Electronics 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-10-12
【2022 Implementation Case】 Taking advantage of green energy business opportunities, Hua Molybdenum Industry creates all-vanadium redox flow battery energy storage system equipment, the best choice for long-term energy storage

Green energy is the future trend and will surely lead to huge business opportunities in the future Wind power has been one of the green energy sources that have attracted global attention in recent years It will become an important force in my country's renewable energy and help Taiwan's power generation reach the goal of 20 by 2025 to improve Taiwan's energy independence As the number and power of domestic wind turbines wind turbines increases year by year, it is particularly important to ensure that the power storage equipment achieves safe, long-term performance, is not easily attenuated during charging and discharging, and is sustainable, low-carbon and environmentally friendly At the same time, the wind turbine equipment itself Health inspection, maintenance and repair have also become the focus of wind farm operators In order to meet the needs of wind farm customers, the green energy business unit of Hua Mo Industry has launched long-lasting energy storage all-vanadium redox flow battery electrolyte and wind turbine AI predictive operation and maintenance, providing 100 safety, long-term efficiency and reducing customer initial manufacturing costs cost-effective power energy storage equipment, and through AI predictive operation and maintenance services to help customers reduce power generation costs by 10 and save up to 30 in maintenance and warranty costs Hua Molybdenum Industry was established in 1998 The industry started by refining vanadium, molybdenum and rare metal elements and other products, and used them in high-end steel, professional chemicals and specialty chemicals industries, and vanadium is more like a steel-making Vitamins can increase the effectiveness of steelmaking Among them, vanadium and molybdenum related products are one of the company's main projects The company sees that the all-vanadium redox flow battery, which is 100 vanadium-based, will be a very promising mainstream green energy technology in terms of long-term energy storage in the future, and before 2010 The government has actively invited legal entities such as the Industrial Research Institute to conduct research on related component materials in solid-state batteries and all-vanadium batteries In addition, the Ministry of Economic Affairs expects renewable energy to account for 20 of power generation in 2025 and reach 15GW Based on the above Considering this, Hua Molybdenum Industry decided to devote all its efforts to research and invest in the technological development of self-developed all-vanadium redox flow battery electrolyte in 2017, in order to accelerate the compliance rate of renewable energy in 2025 Hua Molybdenum pointed out that "renewable energy power is relatively unstable, and Taiwan itself lacks lithium resources In lithium battery manufacturing, almost 80-90 of battery cells must rely on foreign procurement, and there is a lack of 100 domestic self-sufficient energy storage Resources and technology "Similarly, how does Taiwan overcome the problem of having no natural vanadium resources To this end, Hua Molybdenum Industry uses original technology to use waste catalysts from petrochemical industries such as CNPC refineries or Taishuo petrochemical processes Up to 10 of the vanadium ion content can be used to extract high-value vanadium resources, thereby producing Taiwan's 100 self-made all-vanadium redox flow battery electrolyte without being affected by resources, effectively achieving resource recycling Since 2017, Hua Molybdenum Industrial has successfully created all-vanadium flow electrolyte technology, and has successfully passed product verification by the Industrial Research Institute, the Nuclear Research Institute and many international manufacturers Taiwan’s power storage energy target is to reach 15GW in 2025 Its power distribution includes 500MW in Taipower’s automatic frequency regulation system, 500MW in E-dReg and 500MW in existing or newly built solar power plants For example, electricity consumption is mainly between 4 pm and 10 pm, which is the peak period for people's daily electricity consumption For this reason, the Energy Administration specifically requires Taipower to strengthen the upgrade of energy storage equipment, which has also driven the market's interest in all-vanadium redox flow batteries Energy storage system equipment is in high demand In addition, Taiwan's current total power reserve construction and contribution has not yet reached 100MW, and the gap from the 2025 target of 15GW of power storage is still more than 15 times Using all-vanadium redox flow batteries to successfully create 100 safe, low-carbon, environmentally friendly and long-lasting energy storage system equipment Compared with the short-term power storage of lithium batteries, the biggest advantage of all-vanadium redox flow batteries is that it is globally recognized as a long-term power reserve It can store energy for a long time up to 12 hours, which means that if it is charged for 12 hours, It can release power for 12 hours Compared with the electricity measurement method of general energy storage systems, which is daily electricity consumption power in kilowatts x time in hours, for all-vanadium redox flow batteries, power and hours are different Special design, the power is also called a stack, which is composed of four materials metal, polymer mold, carbon felt and graphite plate, and the power consumption time is calculated based on the amount of electrolyte in cubes Therefore, when the power electric push x the amount of electrolyte the daily electricity consumption of our all-vanadium redox flow battery for energy storage The product features of the all-vanadium redox flow battery energy storage system equipment include four major features safety, long-term performance, not easy to decay during charging and discharging, and sustainable, low-carbon and environmentally friendly The quality of the all-vanadium flow battery is 100 safe Since the electric energy is stored in the vanadium-containing electrolyte, it can avoid any flammable accidents caused by a fully charged energy storage system In terms of battery life, compared to the short battery life of lithium batteries, all-vanadium redox flow batteries can have a battery life of more than 20-25 years through changes in price Regarding the charge and discharge performance of energy storage, unlike lithium batteries which have a certain number of charge and discharge times 5000-600 times, there is no limit to the number of charge and discharge times of all-vanadium redox flow batteries Regarding zero carbon emissions, which is highly valued globally, unlike lithium batteries which have recycling issues, the electrolyte of the all-vanadium redox flow battery can be used permanently The material components of the stack are environmentally friendly and fully recyclable to create a truly sustainable and low-cost Carbon-friendly energy storage system Onshore wind turbine AI prediction smart operation and maintenance allows customers to reduce power generation costs by 10 and save maintenance and warranty costs by up to 30 Hua Molybdenum Industry not only improves the long-term power storage efficiency of renewable energy customers through all-vanadium redox flow battery energy storage system equipment and helps customers reduce initial purchase costs, but also uses AI smart operation and maintenance empirical calculations for offshore and onshore wind turbines Field demonstrations were drawn on Taipower's onshore wind farm, and we actively accumulated our own technical experience and energy in AI predictive operation and maintenance With the support of the AI HUB project of the Industrial Bureau of the Ministry of Economic Affairs, the cooperation site will focus on the Phase I wind farm of Taipower Corporation and provide smart operation data of wind turbines for more than 6 months for analysis The AI predictive operation and maintenance system for onshore wind turbines uses machine learning The main technology provider comes from ONYX Insight, a subsidiary of British Petroleum BP The company uses AI Hub analysis software technology to analyze the wind turbines faced by Taipower Pain point analysis, including power generation loss of road-based wind turbines and damage prediction of key components of land-based wind turbines such as gearboxes, pitch bearings under abnormal vibration three-dimensional vibration frequency or abnormal temperature, etc output Through this implementation, it can effectively help Taipower reduce power generation costs by 10, increase asset value by 12, and save up to 30 in maintenance and warranty costs In the past three years, ONYX Insight has successfully predicted and operated more than 20,000 offshore or onshore wind turbines around the world, accumulating extremely high AI model accuracy It is believed that the international partnership established with ONYX Insight will effectively guide and accelerate the green energy division of Hua Molybdenum Industry in its goal and layout to become an independent technology service provider for wind turbine AI predictive operation and maintenance Works with partner ONYX insight to provide customers with an AI predictive operation and maintenance system, including wind turbine power generation loss and damage prediction of key wind turbine components Building a solid foundation for domestic wind turbine operation and maintenance, using Taiwan as a base to expand to Southeast Asian wind farms The market output value of offshore wind turbine AI predictive operation and maintenance in Taiwan will exceed NT30 billion in the future, and the energy storage market has an output value of more than 100 billion US dollars globally In the future company vision, Hua Molybdenum Industrial hopes to become An independent technical service provider for vanadium flow battery electrolyte and wind turbine AI predictive operation and maintenance The long-term goal is to establish a local supply chain of vanadium flow battery electrolytes around the world by accumulating abundant technology and performance capital to supply industry needs nearby 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2022-11-15
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【2020 Implementation Case】 AI Smart Customer Service Maintenance Response System, solving customer machinery fault issues instantly through chatting!

A tool machine manufacturer that markets successfully both domestically and internationally, but also faces challenges A domestic tool machine manufacturer specializing in CNC wire cut machines, CNC EDM machines, and CNC fine hole EDM machines, uses its strong core capability in electromechanical development to deliver high-precision, high-quality products It has successfully developed an aviation engine turbine ring wire cutting machine and specializes in designing and manufacturing super-large custom models, successfully marketing its products to over 30 countries worldwide Though capable of marketing high-quality products, the lack of standardized processes and methodologies for machine maintenance means that it often requires significant manpower and time to address machine failures, increasing maintenance costs No fast repair solutions, difficult personnel training, high maintenance time costs While the tool machine manufacturer can sell high-precision machinery globally, encountering maintenance situations always consumes a lot of manpower and money This is due to the lack of standardized troubleshooting processes for machine maintenance, mainly relying on the experience of maintenance technicians and the machine error codes Not all faults can be diagnosed through codes Technicians can only initially judge based on the error codes, then hypothesize the likely fault causes for further inspection and maintenance There is also no standard way to record the repair methods, making it difficult to quickly troubleshoot similar issues in the future In addition to 'lack of standardized fault troubleshooting process', there are also issues of 'difficult personnel training' and 'high maintenance time costs' Technicians need years of repair experience and must be familiar with mechanics, electronics, and mechanical engineering If error codes are not available during repair, it requires considerable time to identify the problem with the machine, causing significant time and cost losses Traditional way of addressing issues through email Implementing the 'AI Smart Customer Service Maintenance Response System' reduces costs for maintenance visits, shortens the duration of repairs, and simultaneously enhances the product's value Considering the pain points mentioned, the needs of the tool machine manufacturer are threefold firstly, establishing a 'fault troubleshooting AI image recognition maintenance knowledge base system' Then, collecting data on machine failures to establish a 'machine fault condition database' Lastly, integrating AI image recognition and deep learning functions to analyze photos taken at the time of the machine's failure in order to identify the most closely related fault issues and troubleshooting methods This 'AI Smart Customer Service Maintenance Response System' predominantly uses 'supervised learning' as its primary AI technique The 'AI model' part involves 'CNN' Convolutional Neural Networks, which is used for image recognition and obtaining extensive training data on machine malfunctions and recommended maintenance methods for effective AI predictions The 'data analysis' part uses 'DNN' Deep Neural Networks to acquire reference data related to fault conditions after training, providing answers that maintenance staff and clients desire for repairs, reducing the rate of maintenance visits and enhancing the product's added value Additionally, 'AlexNet' is used as a preliminary development tool its parameters can be set independently and executed automatically, ensuring that the AI model trained aligns closely with expected outcomes Currently, the tool machine manufacturer has around 10,000 graphic and text entries, predominantly 'image data' The system uses images for fault identification and text to assist in the diagnosis of abnormalities It employs '360-degree panoramic modeling' to archive graphic data and stores numerous image files internally Additionally, it gathers relevant data such as electrical currents, voltages, water pressures, and flow rates via sensors, utilizing them for associated decision-making processes The following pictorial representation shows the system service process AI Smart Response Customer Service System Service Process Chart This system gathers experiences from technical maintenance staff and information on machine faults to establish databases containing machine fault conditions, machine fault images, maintenance actions, and completions of machines It logs the comprehensive repair records, and leveraging AI image recognition and data analysis, it determines the most likely fault conditions Through accumulated maintenance experience, the machine is enabled to autonomously learn and decide, offering the most suitable solutions to technicians or clients, thus shortening the training and repair time for technicians, reducing clients' downtime and costs, and increasing the machine's additional product value Promoting the 'AI Smart Customer Service Maintenance Response System' across various industries for greater economic impact This 'AI Smart Customer Service Maintenance Response System' initially sets up a maintenance knowledge base, then employs Chatbot technology to integrate smart customer service, allowing clients to interact directly via chat to quickly resolve basic machine faults In the training of maintenance technicians, AI can also swiftly classify and inform of the likely fault causes and troubleshooting steps, thus lessening training and repair duration By effectively solving issues like the lack of quick repair solutions, difficulty in training personnel, and high maintenance time costs, it is poised to expand its applications to other industries for more significant economic outcomes in the future AI Intelligent Reply Customer Service System - Smart Image Recognition Customer Service Illustration「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2020-07-21
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【2020 Implementation Case】 "AI Embroidery Pattern Recognition System" effectively improves pattern recognition efficiency by 50 times!

Influenced by fast fashion, the OEM model of large variety in small quantities has become the development trend of the textile industry "Fast fashion" features fast, cheap and fashionable Taiwan has been affected by the rise of fast fashion in recent years The OEM model of "wide variety in small quantities" has become the development trend of the textile industry The primary goal of the textile industry is to understand how to receive purchase orders under this fashion trend Customer inquiries for new patterns can only be searched manually, which is time-consuming and inefficient Chairman Chen of a leading domestic textile company took over as the chairman of the "Taiwan Underwear Innovation Alliance" in 2018 He has engaged in the design and development of embroidery patterns for more than 40 years and has developed more than 30,000 embroidery patterns Whenever international corporate customers request a price quotation for a new embroidery pattern, it takes about 25 hours of "manual search" to find 1 to 2 similar patterns for quotation Therefore, the main bottleneck is how to quickly identify "embroidery patterns" Cleaning and organizing raw data takes a lot of time To build an AI model that can quickly identify and find similar embroidery patterns, a large amount of embroidery pattern data needs to be used for learning during the model development stage Each embroidery pattern requires pre-processing, including watermark removal, border removal, and pattern standardization It will take one full-time employee six months to complete image pre-processing The textile company provided a total of 30,125 embroidery patterns for AI machine learning and identification The data were annotated and divided into seven categories of patterns Improved AI accuracy through pattern recognition and learning When a customer requests a price quotation for a new embroidery pattern, sales personnel can first upload the image to the system and check which important elements need to be identified, such as style, shape, category, pattern, and size, and then select several satisfactory options from the many options recommended by AI The results are sorted and stored according to "satisfaction," and recognition results and the user's score are stored in a cloud database By recording the standards and key points of AI pattern recognition training, we can verify whether any images were left out and the reason why certain images were not selected In addition to finding similar patterns, another challenge of "embroidery pattern recognition" is "psychological level" cognition of human beings, including "different users' preferences" and "users' consideration of customers' preferences," both of which will affect selection results The user's selection results, "satisfaction" scores, and "the operator's psychological level" preferences make the AI model more accurate The development of an "AI pattern recognition system" to assist manual work allows similar patterns and solutions to be found within 1 minute, significantly improving work efficiency by 50 and improving order-taking efficiency to cater to the fast fashion industry Schematic diagram of embroidery pattern AI recognition management system Schematic diagram of embroidery pattern AI recognition results Establish the "Taiwan Textile Industry AI Pattern Recognition Service Center and Platform" This "AI Embroidery Pattern Recognition System" project will work with more textile companies and resources in the future to establish a business model for the "Taiwan Textile Industry AI Pattern Recognition Service" Introducing this AI recognition system to the upstream and downstream of the industry chain will jointly improve the technological level, operational efficiency and international competitiveness of Taiwan's textile industry

2020-07-16
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Records of

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Announcement of the First Batch of the AI Technical Service Capability Registration and Application Mechanism in 2024, Applications Now Being Accepted!!

The Ministry of Digital Affairs MODA Administration for Digital industries ADI guides the direction of research and development RampD of technology and application services by domestic digital service providers, and provides certifications of verified performance, so as to enhance the resilience R, integration I, security S, empowerment E, and competitiveness of the industry, and drive the growth of digital economy-related industries The AI technical service capability classification and registration mechanism was specially planned and established to take stock of domestic AI technical service capabilities through a credible classification and registration mechanism It compiles a map of the domestic AI industry, and assists information service providers with developing more intelligent products and services, in order to expand industrial services and scale, accelerate the application of AI in the industry, and increase industrial value and competitiveness Those that pass the AI technical service capability registration will gain greater creditability as an AI service provider and be connected to the AI HUB httpsaihuborgtw, matching supply and demand, assisting AI service providers with expanding business opportunities, and enhancing their competitiveness in the industry It can also be referenced for eligibility in future government-related guidance programs, and will be actively recommended to AI-related subsidy programs and venture capital platforms to assist enterprise development The Ministry of Digital Affairs Administration for Digital Industries now accepting applications for the first batch of AI technical service capability registration in 2024 and welcomes applicants I Definition of technical scope The definition of AI in the capability registration refers to the realization of simulated human cognition, machine autonomous inference, or knowledge work abilities in specific fields or general fields through new modeling methods, such as machine learning, deep learning, and neural networks This is used as the core business or integrated it into existing industries, software and hardware integration, or consulting service solutions Please note that traditional statistical techniques, such as regression analysis, are not within the scope of this capability registration II Eligibility Software and information service related institutions including for-profit institutions, non-profit institutions, and schools that completed business registration within the territory of the Republic of China in accordance with the law III Application period From now until 1800 on July 19, 2024 Friday IV Application method Please go to the link httpswwwcisatwAIloginindexphp before 1800 on July 19, 2024 Friday to apply for a user account and password, fill in basic information online, and download and fill out related documents Upload the electronic documents in 1 to 3 before the deadline that was announced I Application Form and Affidavit for the MODA ADI's 2024 AI Technical Service Capability Registration see Attachment 1 for the formatII Proposal Form for the MODA ADI's 2024 AI Technical Service Capability Registration see Attachment 2 for the formatIII Required attachments of the proposal1 A photocopy of the certificate of company registration or business registration issued by the central competent authority2 The most recent tax bill for profit-seeking enterprise income tax, balance sheets, and statement of comprehensive income, or a photocopy of the approval notification for the declaration of income derived from professional practice3 Resume of full-time employee4 A photocopy of documents proving the performance of AI products or professional services Validity period of performance data 2022-2024 V Application briefing session Taipei session - June 24 Monday 1400-1600Room C206, Taipei Changan Hall, Taiwan Culture and Creative Center httpswwwcisanetorgtwCourseDetail5322 Taichung session - June 26 Wednesday 1400-1600Room 0304, Taichung Startup Hall, Taiwan Culture and Creative Center httpswwwcisanetorgtwCourseDetail5323 Kaohsiung session - June 27 Thursday 1400-1600Room K135, Kaohsiung Xinyi Hall, Taiwan Culture and Creative Center httpswwwcisanetorgtwCourseDetail5324 VI Online consultation meeting An online consultation meeting OnlineTeams meeting the meeting link will be sent two days before the event, registration link httpswwwcisanetorgtwCourseDetail5321 will be held at 200-600 pm on July 4 Thursday to help companies understand the classification and key points of registering AI technical service capability Each company will have 10 minutes of one-on-one QampA We welcome you to sign up for the event VII Consultation hotline Contact person Mr YehTel 02-25533988 extension 385E-mail:kevinyehcisanetorgtw

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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 nbsp Please click on the following URL to register now and learn more detailed information and online websiteRegistration websitehttpsseminarstcaorgtwD15r00761aspx Event ContactTaipei Computer Association 02-2570-6337Miss Gao 9512 Miss Hung 9827 Miss Lin 9865

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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 httpsaihuborgtwpost411 , 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 httpsaihuborgtwpost411 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 httpsaisubsidytcaorgtw URL for uploading application documents httpsaitcaorgtw 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 yvonnekaomailtcaorgtw Ms Hong 022570-6337 extension 9827 jenny_hungmailtcaorgtw Ms Lin 022570-6337 extension 9865 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 httpsaisubsidytcaorgtw 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 httpsaisubsidytcaorgtw

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 https 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 nbsp For more information, please seehttpsaitalentstcaorgtwHomeContestDescription

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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 httpsseminarstcaorgtwD15r00688aspxStep 2 Download the attachment from the competition websitenbsphttps 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 addressnbspuna_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 Affairsnbsp1 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 prize2 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 httpsaicontesttcaorgtw 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

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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 click the following URL to register httpsseminarstcaorgtwD15r00630aspx 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 httpsaisubsidytcaorgtw

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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

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[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」

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【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」

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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」

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【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」

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【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」

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【2023#15】South Estate Precision Marketing & APP 2.0 Integration Project

Industry Accommodation and Food Services IMajor Category Accommodation Industry 55 Subcategory Industry Pain Points Significant seasonal demand fluctuations Some areas face reduced visitors and declining performance during the off-season Tourism experience and quality management Providing a high-quality tourism experience is a crucial goal for the industry, yet sometimes faces challenges with unstable service quality and customer complaints High demand for human resources Human resources are critical to the industry, but sometimes there is a shortage of workforce and insufficient skills, necessitating enhanced training and talent development Digital transformation pressure With the advancement of digitalization and technology, the industry needs to address challenges associated with digital transformation, online sales, marketing strategies, and technological innovation Benefits of AI Adoption Personalized services AI can analyze and understand the preferences, needs, and behavior patterns of visitors, thereby providing personalized travel recommendations and services, improving visitor satisfaction, increasing repeat visitation and loyalty, and facilitating business growth Smart interaction AI can act as an intelligent customer service assistant, such as virtual assistants or chatbots, answering visitor questions, providing immediate support, and customizing interactions based on visitor needs, enhancing the customer experience Accurate demand forecasting AI can analyze visitor data and market trends to forecast demand peaks and changes, helping to optimize inventory management, workforce allocation, and pricing strategy, thereby enhancing operational efficiency and revenue Customer feedback insights AI can analyze the reviews and emotional feedback of visitors to extract key information, quickly identify and respond to customer needs, improve service quality, and enhance customer satisfaction and reputation Enriched travel experiences AI can integrate technologies such as augmented reality and virtual reality to provide richer and more immersive travel experiences, attract visitors, add value to the travel offerings, and gain competitive advantages CommonAITechnologies or Applications Random Forest, K-means Clustering, ContentCollaborative Recommendations AI applications such as the Random Forest algorithm analyze large amounts of visitor data to learn and predict their preferences and behavior for demand forecasting AI like K-means clustering and contentcollaborative recommendation algorithms segregate customers, offering more accurate and personalized travel experiences and services Generative AI Using natural language processing techniques to analyze and understand visitor communications including website reviews, social media posts, coupled with AI like generative pre-trained transformers for automated dialogue responses, sentiment analysis, and opinion mining better understand and respond to visitor needs Convolutional Neural Networks Utilizing AI such as convolutional neural network algorithms to identify and analyze content in images and videos, such as visitor facial expressions and actions, to understand visitor reactions and experience, and to further improve service quality and travel arrangements 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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