Special Cases

【導入案例】海量數位工程AOI機器智能手臂檢測系統 大幅提高瑕疵檢測精準度
03
2021.11
【2021 Application Example】 Massive Digital Engineering AOI Intelligent Robotic Arm Inspection System Significantly Improves Defect Detection Accuracy

Taiwan is known as a manufacturing powerhouse, yet quality defect detection has always been a chronic sore point in production lines While AOI equipment is available to assist, most use fixed machinery which are limited by angles, resulting in less precise diagnostics and high false positive rates Massive Digital Engineering introduced an AOI intelligent robotic arm detection system that effectively reduces false positives and increases the accuracy of defect detection Generally, the yield rate of products affects the costs for enterprises and the return rate for customers The quality defect detection process in the manufacturing industry often necessitates a substantial amount of quality inspection labor Although there is AOI equipment to assist, these tools are mostly fixed detection machines Fixed cameras are easily limited by angles, resulting in less precise diagnostics and high false positive rates Thus, personnel need to re-screen and inspect afterwards, often manually visual inspection misses defects on average about 5, and can be as high as 20 Three major pain points in manufacturing quality detection Robotic Arm AOI with dynamic multi-angle inspection helps to solve these issues According to the practical understanding by Massive Digital Engineering, there are three main pain points in detecting product quality within the manufacturing industry Pain point one, manual inspection of product quality is prone to errors Currently, the manufacturing industry largely relies on human labor to inspect product appearance, but human judgment often entails errors, such as surface scratches, color differences, solder appearance, etc The error rate in defect judgment is high, and can only be inspected at the finished product stage, often leading to whole batch rejections and high costs in labor and production Pain point two, inability to quantify and record data from quality inspections Traditional manual inspections do not maintain inspection data, which makes it difficult to assign responsibility when quality disputes occur Moreover, high-end contract manufacturing orders from overseas brands often require traceability and corresponding defect records, which traditional human inspection methods struggle to meet Pain point three, limitations of traditional AOI visual inspection systems Current manufacturing uses AOI visual inspection systems, which due to the limitations of visual software technology, employ fixed cameras, fixed lighting, and single-angle operations This method may handle flat or linear-shaped products like rectangular or square items at a single inspection point However, it is more challenging to implement for products with complex shapes eg, irregular automotive parts, requiring multi-point and multi-degree inspections Massive Digital Engineering developed an AOI intelligent robotic arm detection system, effectively improving the accuracy of defect detection To address the pain points in quality inspection in manufacturing, Massive Digital Engineering initiated the concept of developing a multi-angle, movable inspection device, starting with the combination of two representative technologies in factory automation - robotic arms and machine vision By integrating robotic arms with AOI for dynamic multi-angle AI real-time quality inspection, the limitations of fixed inspection systems are addressed, and visual inspection techniques are enhanced by leveraging artificial intelligence, further elevating the sampling of images from flat to multi-dimensional and multi-angular Selected the automotive industry as the real-world testing ground to quickly respond to customer needs The AOI intelligent robotic arm detection system, utilizing AI technology including unsupervised learning, supervised learning, and semi-supervised learning, allows operators to use unsupervised deep learning techniques to learn about good products even when initial samples are incomplete or there are no defective samples, applying it in the visual inspection of automatic welding of car trusses This can solve issues of limited angles with fixed machinery before implementation, less precise diagnostics, and high false positive rates Automotive components are high in unit price and demand a stricter defect detection accuracy In industries that have adopted AI services, the automotive manufacturing sector was chosen as the real-world testing ground Massive Digital Engineering states that the automotive industry mainly consists of related component manufacturers and components typically have a higher unit price, hence requiring more in terms of quality inspection and yield rates, and demanding stricter accuracy Therefore, the automotive sector was chosen as the area for introduction By using a robotic arm combined with AI for dynamic multi-angle AOI visual real-time quality inspection, not only can the defect quality error rate of automotive components be improved, but the fixed-point AOI optical inspection can be enhanced to meet the measurement needs of most industries and finally, establishing a third-party system platform to build an integrated monitoring system platform, enabling immediate response and action when issues arise This system allows for recording and storing important data of products leaving the factory, serving as a basis for future digital production lines and virtual production At the same time, in the event of defects, it can immediately connect to Massive's MES monitoring system, quickly responding to the relevant manufacturing decision-making department, subsequently utilizing ERP systems for project management and reviews, effectively improving production efficiency and reducing production costs Helps to reduce communication costs and aims to become an industry standard In terms of industry integration, it provides a foundational standard for data continuity among upstream and downstream businesses, reducing communication costs within the supply chain Through certification of the contract manufacturers and brand owners, there is a chance to become the industry standard configuration Through the data database established by this project, operators can further optimize their supply chain management solutions using big data analysis Data Analysis, based on data, establish forecast planning, and utilizing technology to link upstream and downstream data of the supply chain, accurately controlling product quality In the future, when interfacing with European, American, and Japanese markets, which demand highly fine-tuned orders, operators can respond and integrate the industry supply chain Supply Chain more swiftly Ultimately, through the benchmark demonstration industry's field verification, such as with the automotive component manufacturing industry used as the benchmark demonstration field, by implementing the robotic arm combined with AI for dynamic multi-angle AOI visual real-time quality inspection system project, the supply chain connection between automotive contract manufacturers and OEMs can be optimized, becoming the industry standard Further seeking more AI teams to join the cross-industry development on the field collaboration platform, driving the overall ecosystem combining AI innovation with field application Self-driving vehicle developed by Massive Digital Engineering「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-11-03
【2019 Application Example】 How can public restrooms rely on IoT and cloud technology to become cleaner, solve 70% of customer complaints, and increase efficiency by 120 times?

IoT smart restroom A revolution of clean, power-saving, and convenient new smart restrooms Six sensors are used to detect toilet paper, hand soap level, water leakage, odor, people flow, and toilet usage conditions, and combined with NBIoT transmission, cloud system, and LINE robot It greatly reduces customer complaints and improves the efficiency of replenishing consumables in restrooms Coupled with real-time notifications, it can prevent illegal smoking in restrooms and improve safety Users will no longer face the dilemma of wet, dirty, smelly restrooms, or toilet paper running out, greatly upgrading their experience What is your impression when you walk into a public restroom in a popular tourist area No hand soap No toilet paper Or even a dirty, smelly, and leaking restroom The IoT big data smart restroom solution of the Institute for Information Technology III solves all inconveniences of restrooms all at once According to statistics of the Environmental Protection Administration EPA, Executive Yuan, there were more than 43,000 public restrooms registered and managed in Taiwan as of the end of September 2019, but the entire EPA only had over 34,000 people Cleaning and managing such a large number of sites is obviously not an easy task Coupled with the inevitable arrival of an aging society, the number and quality of personnel cleaning restrooms will inevitably encounter unprecedented bottlenecks The introduction of effective service processes and assistance of technologies has become a major issue that must be faced sooner or later The IoT smart restroom service solution demonstrated by the III at over 20 restrooms around Taiwan may provide a good direction for us to solve this problem Overwhelming number of customer complaints, four major problems, and three solutions of the III In 2016, when the MRT Songshan Station, which is connected to the train station, was officially opened, the public restrooms that were already at full capacity resulted in serious customer complaints due to the overwhelming use Songshan Train Station, which originally had an average daily passenger volume of only 40,000, was already near a bottleneck in service capacity After the connected MRT Songshan Station was opened, the number of passengers increased to 70,000 The restrooms that were already near full capacity were completely unable to cope with the additional passenger volume after the MRT station was opened Cao Xueqin once wrote a classic line that touched people's hearts in the novel "A Dream of Red Mansions" "When a wall is about to collapse, everybody gives it a shove" may be able to describe this phenomenon The toilet paper and hand soap in each restroom was never replenished in time, the sinks were dirty, and the toilets could never be cleaned in time There was an overwhelming number of customer complaints about the restrooms as a result In addition, the public restrooms of Songshan Train Station are closer to the main passageways of passengers than the public toilets of MRT Songshan Station At this point Songshan Train Station had to face and solve this problem Since Songshan Train Station has worked with the III for a long period of time, it commissioned the III to help solve this troublesome problem Edison has a famous saying "If I find 10,000 ways something won't work, I haven't failed I am not discouraged, because every wrong attempt discarded is another step forward" The first thing that the III needs to do is conduct pain point analysis and think about the underlying problem After reviewing customer complaints and discussing and analyzing them with front-line cleaning service companies, the III found four problems and three solutions The four problems are Toilet paper and hand soap are not promptly replenished, sinks are damp, and the space has a foul smell The three solutions correspond to these four problems respectively 1 Delicacy management of consumables such as toilet paper and hand soap 2 Digitize the key performance indicators KPI in the service process, such as the dampness of the sink, or the odor concentration in the space 3 Use new Internet of Things IoT technology to implement the first two solutions, and assist big data and cloud technology in achieving efficient site cleaning management "Technology features and RampD process" The combination of six key sensors with IoT cloud motherboard and big data, thoroughly resolving 70 of customer complaints and increasing efficiency by 120 times I Delicacy management of consumables To achieve delicacy management of toilet paper and hand soap, the first step is to develop sensors to detect these two consumables Starting in 2017, the III began to design the first infrared toilet paper detection module The module mainly uses the physical characteristics of toilet paper usage habits for detection Under normal use, toilet paper is placed on an iron drum holder, and its thickness slowly becomes thinner as it is used This module requires the combination of a position sensitive detector PSD , infrared emitting diode IRED, and signal processing circuit SPC to effectively determine the length of toilet paper with accuracy reaching one decimal place When the detection module was first developed, there were no designs that could be referenced, so sensor selection, circuit board designing and planning, sensor programming, and even the light-cured 3D printed casing design were all completed in the III However, despite overcoming all the difficulties in designing and producing the toilet paper sensor, there was no way to foresee that fixing the sensor in place would be the most difficult problem The III team shared with us ldquoAt first, we used hot melt adhesive to fix it in place, but cleaning personnel needed to open and close it every time they replenished toilet paper The sensor fell due to too much vibration and not being firmly fixed in place The worst situation was in the women's restroom When a female passenger was using the toilet, the sensor was not properly fixed in place and fell Donrsquot you think this sensor looks like a pinhole camera If something like this suddenly falls on the ground in the women's toilet, how bad do you think it will be laughs Fortunately, our superiors supported us, and we continued to develop the technology until we were able to successfully fix the sensor firmly in place Otherwise, this project would have been aborted a long time ago" After the toilet paper detection module was launched, an inspection of toilet paper usage that once took cleaning personnel 15-20 minutes to complete now only takes 10 seconds by opening the app This greatly improved efficiency by 120 times Now that the consumption of toilet paper has been solved, the next problem is detection when hand soap is at a low level Unlike toilet paper, the amount refilled each time for hand soap isn't always the same Because the design philosophy was to use the lowest cost and most stable components to complete this function to facilitate future scaling, a common Hall sensor was chosen It was mounted on the exterior of the soap dispenser to achieve the detection of low soap levels The principle is actually very simple Once the liquid level is lower than a certain percentage, the Hall effect sensor can sense the change in voltage from electromagnetic induction of the liquid level The sensor sends a signal to the back-end cloud server, and then the server then sends a message to cleaning personnel the same as the toilet paper sensor II Digitization of key performance indicators KPIs in service processes If the sink is wet, water will often seep onto the floor In addition, the bottom of passengersrsquoshoes will inevitably carry dust, so the floor will become dirty when they step on the wet floor Visually, this will give people a sense that the ldquorestroom is dirty" However, it is impossible to have cleaning personnel on duty in the restroom at all times, so a special sensor is needed to detect this situation The III uses the resistance characteristics of thin film resistors When there is liquid on the surface of the thin film resistor, it will lower the overall resistance value and further change related values of the analog signal output In this way, moisture can be detected by simply laying thin film resistors on surfaces that often become wet For example, next to the windowsill or on the sink However, since sensors are relatively expensive and scratches will damage the performance of the sensors, this moisture detection sensor is only used in specific public restrooms Apart from looking dirty, if a foul smell comes from a public restroom, people will think it is dirty even if it looks bright and clean However, odor detection is not that easy to solve At first, we searched all kinds of sensors in Taiwan and overseas to find this "electronic nose" We eventually found a suitable MEMS chip in the product line of a major Japanese manufacturer that specializes in the production of gas sensors The III started from breadboard testing, circuit design drawings, to outsourced chip production, taking nearly six months to complete the design of the sensor Furthermore, in the process of developing smart nbsprestrooms, we also received requests to develop other modules, such as people flow detection and usage detection During the development process, we found that users may accidentally close the door of some accessible toilets after use and forget to turn off the lights, so it seems as if the toilet has been occupied all day long However, people who really need to the toilets are blocked outside the door of accessible toilets that are actually vacant This problem was relatively simple The engineer found a ready-made people flow sensor module and installed it under the sink, and the problem was easily solved In addition, environmental protection and carbon reduction requirements are hard to meet for some remote public restrooms, such as Tri-Mountain Lishan National Scenic Area Due to the remote location, responsible personnel must turn on the lights every day at work and turn off the lights when they get off work Sometimes not many tourists use the public restroom all day long, but all the lights and equipment are still on all day long, which is a waste of electricity Generally, commercially available sensors are very dull and will turn off the power as soon as the set time of 30 seconds to 10 minutes is up Such a sensor may be adequate at home when only one person uses the toilet However, in a restroom that can easily reach 60 ping or above, several detectors will be needed to work together to ensure whether there are still users in the restroom This is another problem without a commercially available solution The III had no choice but to integrate multiple sensors and develop algorithms on the MCU to solve this problem III The introduction of new IoT, cloud, big data, and 5G NBIoT technologies On the path of innovation, there are always difficulties waiting for engineers to overcome In the process of solving problems as they come, we also refined the solution step by step, making it cheaper, more reliable, and more convenient After the sensors described above were completed, the system gradually generated new problems for the III to solve For example, the barrier of user habits, power consumption issues, cost issues, etc The app was changed to a LINE group robot to become more aligned with user habits When the public restroom of about 60 ping at Songshan Train Station was completed for the first time in 2017, MCU and WIFI communication were used to monitor and transmit data to the server around the clock After the system determines an abnormality, it uses the mobile app developed by the III to notify cleaning personnel This design seems to be impregnable at first glance However, the average age of on-site cleaning personnel is over 50 years old, no one used the dedicated app, and front-line personnel often deleted the program within a few days of use There is a whole set of sensors monitoring, but no cleaning personnel actually use it User habits are often the biggest obstacle to the introduction of new technologies After conducting user interviews we found that the cleaning personnel of every public restroom have a LINE group The III team mentioned "Knowing that they cleaning personnel have a LINE group makes things easier At first, we cautiously asked the cleaning personnel if they would invite a robot "new colleague" to help inspect toilet paper and determine abnormalities in the restrooms At the beginning, the cleaning ladies were a little skeptical When they discovered that this robot "new colleague" was very useful, they fell in love with it" Due to cost, environmental protection, and convenience issues, WIFI was upgraded to NBIoT communication protocol WIFI is fast and has wide bandwidth A restroom has a men's room and women's room, which requires two separate systems for monitoring, and each system needs an independent 4G network to connect to the cloud system Therefore, the construction and communication costs are relatively high, and the power consumption is also relatively high At this point, readers may have questions Public restrooms are all set up in public spaces Is there no public WIFI network available The III team gave us a very in-depth answer "Actually, almost every public space has a WIFI network that can be used However, sharing WIFI with other people is prone to interference, and IoT devices are simple and lack security control mechanisms If you use public WIFI, there is a certain degree of security risk Therefore, in our solution, we still designed a closed WIFI communication system to solve the communication problem In addition, since a WIFI base station can only support 20-30 nodes, a women's room with 18 toilets requires a separate systems Coupled with the fact that it is separated by a concrete wall, the signal will be very weak and even affect the stability of the signal Therefore, a public restroom installing two systems is mainly due to stability considerations rather than cost considerations" In densely populated areas, using WIFI to transmit data to the server is not too troublesome However, when smart restroom systems are beginning to be applied to restrooms in remote areas, such as Lishan, Guguan, Shitoushan and other public restrooms of national park visitor centers, maintaining network connection is indeed a difficult problem Fortunately, new generation mobile communication networks of 5G includes narrow-band Internet of Things NBIoT specially designed for the Internet of Things The III is the first in Taiwan to develop Taiwan's first NBIoT MCU control system designed for smart restrooms using the NBIoT chipset of a domestic chip manufacturer In addition to the significant cost reduction, this system is also very energy efficient, requiring only 16 of the power of the original WIFI system The most important thing is that compared to traditional WIFI, which requires a relatively stable 4G signal connection, this system has wider coverage and allows communication deep in the mountains and out in the wild This allows wider coverage of smart restrooms in the future without being limited by network signals IV "Effect Analysis and Future Outlook" IoT smart toilet A revolution of clean, power-saving, and convenient new smart toilets As the complete set of sensors, cloud system, NBIoT, and LINE robot are gradually launched, the benefits are clear In the case of public restrooms at Songshan Train Station, from being overwhelmed at first to greatly reducing the number of customer complaints by 70, the time required to inspect toilet paper use was shortened from the original 15-20 minutes to only 10 seconds Once an abnormal situation occurs, it has gone from being undetected to the prompt notifications today Interestingly and unexpectedly, this entire system also brings the added benefits of safety and thorough enforcement of tobacco hazards prevention laws When a toilet is occupied for more than 40 minutes, a warning will be sent to the cleaning personnel group Hence, when a user occupies a toilet for too long, cleaning personnel will knock on the door This greatly improves safety In addition, odor detectors are also very sensitive to the smell of smoke Since smoking is prohibited in national parks, tourists sometimes sneak into public restrooms in remote areas to smoke In public restrooms of national parks, once the odor detector detects the smell of smoke, it will play a voice message about the Tobacco Hazard Prevention Act to let tourists clearly know that smoking in public restrooms will result in a fine of NT2,000 to NT10,000 Since the installation of odor detectors, the number of users smoking secretly in public restrooms has significantly decreased The "smart public restrooms" at Songshan Train Station won the "Golden Way Award" from the Ministry of Transportation and Communications for overcoming various difficulties, which made it famous From a constant stream of customer complaints to model public restrooms that the public sector has enthusiastically visited, the additional workload on the case officer from handling group visits is actually a luxury to be worrying about Future Outlook The system has proven its stability and cost effectiveness during the three years of RampD and field experiments, and has now been successfully transferred to domestic system integration companies The III also hopes that this system can be expanded in the future, and the technology can even be transferred to Europe and the United States In addition, on the basis of stable and reliable data flow and communication connections, the introduction of big data for analysis may make the deployment of manpower more delicate, and the problem of uneven work distribution can be expected to be fundamentally corrected Facing the arrival of an aging society, NBIoT communication systems, combined with various IoT sensors, may be able to bring us a healthier and safer living environment Some repetitive tasks that traditionally relied heavily on manpower can also use technology to greatly improve efficiency

2019-11-21
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【2020 Application Example】 "AI Color Recognition and Cost Optimization Control System" automatically recognizes colors, breaks through the traditional color grading model, significantly reduces costs, and improves yield!

Mixing new colors relies on the experience of master craftsmen The so-called "computer color matching" in the paint industry is simply the selection of "existing colors" for mixing, but there is actually no way to mix paint for a ldquonew colorrdquo and it all relies on the experience of master craftsmen Hence, it is necessary to start from scratch when a new color is encountered, which consumes a lot of manpower and time Moreover, due to the different color mixing habits of each master craftsman, the cost can be significantly different despite producing the same result The trilogy when paint factories face the crises of transformation I Lack of color mixing standards Generally, when traditional paint factories produce new colors, they will use a "spectrophotometer" to measure the LAB value of the sample color, and then the paint mixer will mix the paint of that color based on past experience After color mixing is completed, the instrument will be used to test the LAB value and C and H wavelength This process does not have a complete system and database records, and there are not standards for color mixing II Production costs are difficult to control Paint factories produce many pigments with different materials and functions, and the cost of paint will vary depending on the "color masterbatch material" used Even if the color number of the masterpiece is the same, the cost will be different if the ratio of the color masterbatch is different Paint mixers do not have a set of color mixing standards when mixing paint, making it difficult to control production costs III The color grading process is lengthy and personnel training is difficult As instruments cannot replace manual color mixing, the training of a paint mixer requires years of experience in paint mixing, familiarity with chromatology, as well as basic understanding of hue, saturation, and brightness If there is no basic reference color values when mixing paint, the paint mixer must spend a lot of time repeatedly mixing colors, resulting in a loss from time cost Developing an "AI Color Recognition and Cost Optimization Control System" The paint factory engaged in industry-academia collaboration with the Department of Computer Science amp Information Engineering of Chaoyang University of Technology through CDIT Information Co Ltd, and utilized the university's AI research capabilities to jointly develop the "AI Color Identification and Cost Optimization Control System" It established a database of "paint color numbers" and "color masterbatch material cost," and analyzes the optimal color mixing and optimal cost formula through data mining methods The paint mixer can refer to the formula analyzed by the system for color mixing, and then input the formula into the system after paint mixing is completed The formula is fed back to the basic database and an "artificial neural network model" is used by the system for deep learning, establishing a color grading standardization system for cost control and data collection, so as to solve the current difficulties faced by paint factories In the early stages of system development, CDIT planned the system requirements of the paint factory, established the system architecture and system database, and then worked with Chaoyang University of Technology on the implementation of model functions for the application of data mining and artificial neural network After the system is completed, CDIT will assist the paint factory in system testing and correction The system will be introduced after correction and testing are completed, and training on system use will be provided to ensure the correct use of the system System Screen Differences before and after using the system Expand new markets for the paint industry to see the paint industry thrive The "AI Color Recognition and Cost Optimization Control System" collects the color mixing formulas of paint mixers, establishes a paint color masterbatch formula database, and records the cost of each color number The system's deep learning function is then used with a spectrophotometer to analyze the optimal color mixing formula for each data entry, so that the paint factory can control the cost of paint mixing The optimal color mixing formula recommended by the system increases the speed of paint mixing and increases output value Future benefits include The improvement in product yield reduces customer complaints and improves customer satisfaction The breakthrough in the traditional color mixing model improves corporate image Improves the efficiency of paint mixing, and allows the remaining time to be invested in training to enhance the professional capabilities of personnel It will also allow the joint expansion of new markets with the paint industry and learning of new application technologies, and promote them to other paint companies, enhancing the industry's overall competitiveness to see the paint industry thrive

2020-08-11
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【2021 Application Example】 Advancing to Smart Logistics 5.0: Hsinchu Logistics Delivers Medical Materials with Ultra-High Efficiency

After incorporating AI technology, traditional logistics companies have seen significant improvements in transportation efficiency and reductions in transportation costs, especially in the transfer of medical materials which involves timely service and rights of hospitals and patients The implementation of intelligent logistics can save medical material businesses the cost of constructing GDP warehouses and other expenses up to millions A major domestic logistics leader, Hsinchu Transport HCT, owns a fleet of 3,500 vehicles and a storage area of 60,000 square meters, providing customized logistics solutions including logistics, commerce, finance, information, distribution, storage, and processing The company handles up to 580,000 parcels per day, with a maximum capacity reaching 900,000 parcels, making the enhancement of transshipment efficiency crucial for HCT Medical materials transportation at hospitals need optimization of current operational processes and enhancements in systematization and intelligence Especially the transportation of hospital medical materials, which encounters various challenges Medical materials suppliers need to cater to varying customer product demands, temperature requirements, and delivery times through multiple logistics providers This highly depends on the experience and careful control of operations staff Whether it is the product shipment or actual logistics process, each step must be interconnected Any human errors can impact the service timing and rights of the hospitals and patients Thus, all concerned businesses, along with the government and hospitals, are working to optimize current operational processes and elevate the level of systematization, automation, and intelligence to minimize service errors and cost losses HCT's distribution process prior to AI implementation Currently, with the government's push for standardized platform operations on the demand side of hospitals, supply-side businesses collaborate through data coordination to improve the accuracy and efficiency of product shipments, enhancing operational quality and management benefits at the demand side At the same time, some businesses are also investing in the standardization and systematization of internal operational processes, thus enhancing operational efficiency and quality In the freight logistics sector, logistics companies' warehouse staff need to expend labor to control different logistics shipment operations If they often receive emergency task notifications for shipments to medical facilities, they usually depend on small regional logistics providers to provide customized delivery services Although this improves delivery times, it does not allow for integrated informational services The new GDP regulations for medical materials require suppliers to undergo GDP compliance certification Therefore, Hsinchu Transport, assisted by the Ministry of Economic Affairs' AI coaching program, not only extends existing logistics services compliant with GDP regulations but will also use data integration and optimized AI technologies to help medical material businesses streamline and improve their logistics operations Complex logistics issues are solved using the Simulated Annealing SA algorithm To meet the 'Good Distribution Practices for Medical Devices,' Hsinchu Transport is not only actively introducing new logistics vehicles but will also implement artificial intelligence-based mathematical optimization technologies to assist in intelligent scheduling at nationwide business points and transshipment stations They aim to optimize the routing of medical materials between business points or regions thereby enhancing efficiency in the distribution process Currently, during the transshipment process of medical materials at Hsinchu Transport, detachable tractor heads and containers are used Each business point and transshipment station differ in location design and staffing, impacting the throughput per unit of time Furthermore, daily cargo conditions size, destination vary, and due to these fluctuating and distinct demands, the deployment of tractor heads and containers changes accordingly Under these circumstances, Hsinchu Transport relies on past experiences to schedule departures at each satellite depot and adjusts daily according to the cargo needs Due to the reliance on empirical scheduling, it is often difficult to consider all variables and considerations, leaving room for improvement in the current departure schedules The cargo delivery planning inherently constitutes an NP-Hard problem, difficult to solve with traditional analytical methods Hsinchu Transport, in collaboration with Singular Infinity, utilizes the Simulated Annealing SA algorithm to find solutions The new logistic service introduced by Hsinchu Transport is 'GDP Container Shift Planning' This planning involves estimating future volumes of medical materials between stations and scheduling container truck shifts accordingly, ensuring timely and quality delivery of medical materials while maximizing operational benefits and reducing travel distances Hsinchu Transport introduces AI-optimized shift planning, constructing the most efficient route from its origin to destination Hsinchu Transport introduces 'Optimized Shift Planning' service, reducing transportation costs by 5 The introduction method involves using cloud software services Hsinchu Transport regularly inputs 'Interchange Item Tables' from station to station into the 'Optimized Shift Planning' service After setting the algorithm parameters, a GDP container shift schedule is generated At the same time, developing a Hsinchu Transport medical material scheduling system allows Hsinchu Transport's medical transport units to compile suitable schedules through the Interchange Item Tables Under the same level of service, it's estimated that this can reduce transportation costs by 5, saving medical material businesses millions in construction costs for GDP warehouses and distribution Due to its requirements for sanitation, temperature, and its fragility, the transportation and transshipment of medical materials should be minimized to reduce exposure and risk However, logistics efficiency and costs must still be considered AI designs the most efficient route for each cargo from its origin to destination, effectively completing daily transportation tasks In response to the future high development demand of industrial logistics, distribution and transshipment AI optimization will be a key issue Through this project, a dedicated project promotion organization will be established, staffed with AI technology, IT, and process domain talents After accumulating implementation experience, the application of AI will gradually expand, comprehensively optimizing and transforming Hsinchu Transport's operational system, and partnering with AIOT and various AI domain partners to accelerate and expand the achievement of benefits「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-10-14
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Records of

這是一張圖片。 This is a picture.
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

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

Enterprise AI power, the real power for digital development of the AI industry Sign up now for the Administration for Digital industries 2024 AI Subsidy Briefing Session Taiwan is facing the challenges and opportunities brought by the digital economy To accelerate the upgrading and transformation of industries through AI, let us give you a hand This project accepts applications for industry AI implementation and diffusion, in order to accelerate the implementation of AI applications and technologies in industries It encourages companies to produce common solutions based on industry AI technology needs and implementation readiness, combined with appropriate data collection and analysis It helps match innovative AI technologies with industry needs, and gathers together capabilities of AI startups, information service providers, and various industries With hardware pushing the economy and software pulling it forward, the capabilities of international partners are utilized to gradually make industries more intelligent and implement the AI industry, so as to realize the vision of a smart nation Application for industry AI implementation and diffusion has begun To get started with the subsidy application process, you cannot miss this briefing session The maximum subsidy for each company is NT4 million SubjectsAI startupsinformation service providerstechnology companiesfields that required AI Event information The Central and Southern Taiwan events are offline events, only the Taipei event will be held online simultaneously Date Session Method Time Meeting location March 26, 2024 Tuesday Southern Taiwan Offline 13301430 Registration at 1300 Conference Room on the 1st floor of the Southern Taiwan Industry Promotion Center1F, No 6, Fuxing 4th Road, Qianzhen District, Kaohsiung City March 27, 2024 Wednesday Central Taiwan Offline 14001500Registration at 1330 Tai Chung Computer Association-903 meeting room9th Floor, No 95-8, Sec 1, Changping Rd, Beitun District, Taichung City March 29, 2024 Friday Northern Taiwan Offline online video conference 14001500Registration at 1330 Conference Room C, 6F, PCBC6F, No 99, Fuxing N Rd, Songshan District, Taipei City nbsp Event Agenda Date Time Duration Agenda Speaker March 26, 2024 Tuesday 13001330 30 minutes Registration Time nbsp 13301335 5 minutes Opening nbsp 13351345 10 minutes Project description and sharing of guidance resources Service team representative 13451405 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14051430 25 minutes General discussion and exchanges QampA All March 27, 2024 Wednesday 13301400 30 minutes Registration Time nbsp 14001405 5 minutes Opening nbsp 14051415 10 minutes Project description and sharing of guidance resources Service team representative 14151435 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14351500 25 minutes General discussion and exchanges QampA All March 29, 2024 Friday 13301400 30 minutes Registration Time nbsp 14001405 5 minutes Opening nbsp 14051415 10 minutes Project description and sharing of guidance resources Service team representative 14151435 20 minutes Industry AI Implementation Verification Plan and Diffusion Application Instructions Taipei Computer Association 14351500 25 minutes General discussion and exchanges QampA All 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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