In the era of "if you don't manage your money, money will not care about you", how to avoid the risks of the investment market and grasp investment returns has become the biggest hope of investors In order to overcome the human weaknesses of greed and fear, financial management robots developed through AI algorithms can help investors avoid disasters and enjoy fruitful profits in the treacherous and ever-changing financial market On March 17, 2020, affected by the global spread of the new coronavirus pneumonia COVID-19, also known as Wuhan pneumonia, the US stock market continued to plummet after opening, triggering the third circuit breaker in the US stock market, which was also the fourth in history After the circuit breaker, investors in the securities market were in distress and could not even escape for their lives Before that, the financial management robot had suggested adjusting the proportion of stocks and bonds, reducing the proportion of high-risk stocks, increasing the proportion of relatively safe bonds, and adding high risk aversion Gold and other combinations enable investors to effectively reduce investment risks and losses Robotic financial management has two service models B2B and B2C The robot financial management service provided by Leading Information Technology Company provides investors with a stable financial management tool Peng Hansheng, co-founder and CEO of Leading Information Technology, said that Leading Information Technology currently provides two service models The first is the Taiwan B2B model, which is to cooperate with domestic financial institutions to provide robot financial algorithm engines, Artificial intelligence market prediction engine, jointly launch robot financial management services the other is an American B2C model, aiming to serve Chinese American customers, self-developed intelligent financial management APP Growin, using AI and quantitative models to provide customized investment and financial management in ETFs and individual stocks Serve Among them, due to restrictions on regulations, the B2B financial management robot launched by Leading in Taiwan is cooperating with the domestic financial industry, including banks, insurance, etc Currently Leading's partners include an investment advisory and credit company, and a life insurance company The company and two banks provide customer financial management robots as a trading tool that consumers can rely on In addition, Taiwan's leader in the information service industry - Jingcheng Information provides diversified financial information services to financial institutions Liding also provides investors with investment portfolio recommendations for smart financial management by connecting APIs to the Jingcheng Information system Smart financial management APP Growin uses AI and quantitative models to provide customized investment and financial services in ETFs and individual stocks The financial regulations in the United States are relatively mature, allowing companies to set up online investment advisory companies Liding connects with the US brokerage system through APIs, and the partner is Interactive Brokers, the largest and No 1 company in the United States Broker, providing direct consumer services Interactive Brokers customers can place orders directly through the APP and enjoy the services of the financial management robot The iOS version is currently available for download The robot financial management platform charges a management fee of 05-1 of the investment amount every year There are 10 investment portfolios for consumers to choose from Stocks with high investment returns have higher management fees If you choose relatively stable ETFs, the fees will be Less expensive The services of Liding Financial Management Robot are mainly focused on medium and long-term investment Taking the United States as an example, the investment targets include 5,000 stocks and 2,000 ETFs in the US market Among them, the average investment return rate based on different risk investment portfolios is 45 -18 or so, and ETF is between 45 and 9 Introducing AI algorithms into investment and financial management can not only significantly reduce the impact of human emotions, but also enable disciplined execution of every investment decision, more effective prediction of the market, and immediate response to its trends Robotic financial management targets retired people and focuses on medium and long-term investment Take the global stock market crash triggered by the impact of the new coronavirus as an example The original investment portfolio of the financial management robot had a stock and bond ratio of 7 to 3 respectively Shortly after the global stock market crash, it automatically reversed and adjusted to 3 to 7, that is, to increase the bond ratio Proportion, reduce the proportion of stocks to avoid high investment risks Peng Hansheng said that the financial management robot uses AI technology models to gather 18 important global market indicators and economic trend forecasts for the next 1-3 months It can provide reversal suggestions when the market is about to fall sharply and avoid high investment risks Therefore, in The losses were relatively minor amid a sharp decline in global stock markets However, relatively speaking, when global stock markets rose sharply in April, the growth rate of financial management robots was relatively small, which is suitable for steady financial investors who pursue long-term performance Peng Hansheng said that investor financial management through AI algorithms can overcome the investment mistakes that ordinary investors are easily affected by emotions, news or irrational selling At the same time, in the form of a basket investment portfolio, It can also effectively diversify risks and reduce investment losses Integrated learning concepts can achieve dynamic asset allocation effects return on investment The so-called "ensemble learning" solves a single prediction problem by building a combination of several models Its working principle is to build multiple classifiersmodels on the data set, each independently learn and make predictions, and these predictions are finally combined into a single prediction The predictions are therefore better than those made by any single classifier In addition, using an "unsupervised" training and learning method, also known as "Hierarchical Clustering", the system will automatically classify the investment targets within the target range every month, allowing the machine to learn Financial report information, value investment, and then improve operational performance The choice of robot financial management as an entrepreneurial theme is mainly related to Peng Hansheng's financial engineering background He graduated from the Department of Finance at Tsinghua University and later went to Columbia University to study financial mathematics After graduation, he entered Wall Street to engage in quantitative trading 2-3 year time Three years ago, after witnessing the sudden ups and downs of the stock market and investors' irrational pursuit of highs and lows, resulting in investment failures, Peng Hansheng decided to contribute what he had learned to Taiwanese society and founded Liding Information Technology Company, specializing in robot financial services It is hoped that through the new smart financial management method driven by AI, it can help investors avoid bad luck and manage their finances steadily The most difficult thing about promoting AI financial management is that according to statistics, when financial management robots make investment portfolio recommendations, up to 40 of investors do not follow them, unable to overcome human weaknesses, and the final result is a losing position getting bigger In addition, in the B2B robot financial management market, the business logic of banks and insurance industries is different from that of financial management robots For example, banks specialize in wealth management, and high-end customers usually prefer direct service from financial specialists and do not like to interact with machines Therefore, promotion in the banking industry is difficult In the future, bank financial professionals or securities traders will be targeted, making the financial management robot an investment advice auxiliary tool for financial professionals and stock traders Peng Hansheng, co-founder and CEO of Liding Information Technology 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Farmers work hard in the fields to produce the freshest, nutritious and delicious crops Without a good cold chain transportation system, not only will farmers’ hard work go to waste, but agricultural enterprises will also suffer losses due to temperature loss and damage to refrigerated goods Loss has also become a major pain point The AI cold chain transportation chain break warning system can help reduce costs and improve the efficiency of fruit and vegetable transportation and preservation Zhongtian Technology, founded in 2017, is committed to using Internet of Things technology to develop smart agriculture In addition to winning many awards such as the Smart City Innovation Application Award, it has also assisted private institutions such as Xingnong Group and the Agricultural Experimental Institute in the construction of Smart agricultural software and hardware equipment Monitoring temperature throughout the cold chain must rely on AI technology to assist Chen Zhiming, chief consultant of Zhongtian Technology and a professor at the School of Information at Lingdong University of Science and Technology, said that Xingnong Group, which has more than 200 fertilizer supply centers across the country, and its Yumei Research Company have the most high-end greenhouses in Taiwan, and its products include crops such as beef tomatoes , supplying Formosa Steaks, McDonald's, COSTCO and five-star hotels, etc Yumei Research itself has 3 refrigerated trucks and 12 refrigerated rooms However, the transportation of vegetables, fruits, fresh food and other food needs to be kept in a low-temperature environment The ambient temperature, humidity, carbon dioxide, position, and opening and closing of the transportation box during transportation need to be monitored in real time for owners to ensure Understanding whether the quality of refrigerated food storage and transportation is affected by temperature changes cannot be done through human monitoring and must rely on the assistance of AI technology Agriculture 40 simple APP operation interface At present, the general practice of cold chain equipment manufacturers is to place wireless temperature recording devices in refrigerated goods and transport them together to record whether the quality is affected by temperature changes during the entire transport process A small number of refrigerated trucks also use 4G networks to transmit The temperature information of the refrigerated space in the vehicle provides monitoring of temperature changes in the cold chain during movement However, the above two methods can only know whether the quality of the product is affected by temperature changes at the final arrival time, and cannot provide analysis and early warning for various conditions that may occur during product storage and transportation to ensure refrigeration Quality assurance and instant feedback of information during product delivery information Schematic diagram of cooperation between ICTIoT technology in agriculture Once the cargo status is abnormal or is about to occur, the AI system can immediately execute warning notifications, which can reduce the loss of broken links caused by environmental changes The overall cold chain monitoring scope extends from logistics and transportation to unloading, transshipment and storage, thereby building a complete cold chain monitoring system AI technology is introduced into the cold chain system, reducing product damage rate by 75 Chen Zhiming said that after the system is established, the proportion of refrigerated goods that are damaged due to temperature changes can be reduced by 75 At the same time, through AI intelligent judgment and statistical analysis algorithms, real-time information on each storage space, delivery vehicle and even pallets can be provided Usage status, it can provide intelligent scheduling and data analysis to increase the utilization rate of the overall cold chain system by 20, which is a good result Taiwan Fengkang Supermarket, owned by Yumei Research Company, has 48 stores north of Hsinchu in the province, with a wide range of products and 100 refrigerated trucks It is currently being planned by Guoxing Information, hoping to break the AI cold chain transportation chain The early warning system has been introduced into Fengkang supermarkets across the province, allowing consumers in metropolitan areas to enjoy better quality refrigerated fresh fruits, vegetables and food In addition to the AI cold chain transportation chain breakage warning system that solves the problem of freshness throughout the entire process "from the production area to the supermarket", agricultural enterprises also have a pain point In order to save electricity during the transportation process, outsourcing manufacturers may turn off the air conditioners on the vehicles In other words, during the 2-4 hour transportation process, the air conditioner may be turned on in the first half hour and the second half hour, and may be without air conditioning at other times In this situation, a Bluetooth data collector can also be installed in the pallet Temperature data is collected every five minutes to ensure that the goods are kept fresh throughout the transportation process Changes in refrigerated temperature trends Greenhouse temperature and humidity change trend chart Chen Zhiming said that Xingnong Group is Taiwan's leading agricultural enterprise Its subsidiary Guoxing Information can build a powerful AI expert system through knowledge in the agricultural field From greenhouses, logistics vehicles, warehouses, sub-warehouses to supermarkets, it can collect and collect data throughout the entire process Get refrigerated truck information For ordinary small farmers, resources are not abundant In the future, Zhongtian Technology will cooperate with Chunghwa Telecom to provide mobile APP promotion for a monthly fee to assist farmers in real-time monitoring of the environmental temperature, humidity, and wind speed required for planting Information such as direction, sunshine and rainfall can be used to facilitate farmers to respond early, and multiple fields can be controlled at the same time, which will greatly reduce the need for manpower and achieve the purpose of smart planting Chen Zhiming, Chief Consultant of Zhongtian Technology 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Fu-Shan Technology, specializing in deep learning, dynamic facial recognition, and image tracking and analysis, provided critical AI temperature screening technology during the government's fight against COVID-19, playing a key role as a valuable tool in pandemic prevention With the pandemic escalating, it's mandatory to wear masks and check temperatures in public transport systems However, in places with thousands of people, like factory areas or Taiwan Railways, it's challenging to measure temperatures individually without shortcomings AI thermal imaging a comprehensive temperature screening system In response to rapid outbreaks of COVID-19 and influenza, Fu-Shan Technology has integrated AI facial recognition with thermal imaging technology to launch an AI-based smart temperature screening and RTC self-health management system, achieving automated screening and real-time abnormal temperature alerting This also ties with AI facial recognition to provide employee temperature tracking and records in an electronic system, significantly reducing the burden of manual monitoring and queuing times Fu-Shan Technology’s CEO, Hong Kun-Yu, stated that existing thermal imagers can only identify the highest temperature source in the area and lack image recognition capabilities, rendering them as industrial thermal detectors For instance, in train stations, thermal imagers detecting items like coffee or lunchboxes exceeding the temperature limit would trigger false alarms Crowded places also fail to identify individual images for timely detection of febrile individuals Visual design makes it clear by displaying the temperature values on people Using dynamic facial recognition, the system can read the relative position of a person's face while targeting the forehead area for automated forehead temperature measurement This not only solves the issue of false alarms but also collects long-term, stable data to manage health Importantly, it captures images of individuals with abnormal temperatures and correlates them with temperature data, date, and time to trace their contact history, effectively preventing epidemic outbreaks Potential false alarms with thermal imagers Currently, Fu-Shan Technology has installed multipoint-thermal imaging systems for temperature screening in 21 train stations along Taiwan Railways’ western line, from north to south The system allows non-contact temperature measurement for over 2,000 people with good results, as evidenced by Transport Minister Lin Chia-lung who personally experienced the system on-site Transport Minister Lin Chia-lung experiencing the AI-based smart temperature screening system Aside from the camera, the AI thermal imaging temperature screening system comprises two software systems RTC rapid temperature check to digitalize and visualize the obtained temperature data, improving the response to false positives and abnormal temperature alerts and PTM personnel temperature management, which, in crowded places, utilizes facial recognition data to confirm identities and temperature changes Upon detecting abnormalities, it can trace contact history and infection sources to swiftly control the pandemic Collecting and managing public temperature measurement data Fu-Shan Safety Monitoring Solutions Broad Application As COVID-19 becomes more endemic like the flu, managing employee body temperatures becomes increasingly important CEO Hong Kun-Yu mentioned that even after the pandemic subsides, the personnel temperature management system PTM can integrate with the company’s attendance management system, automating temperature management for employees to proactively prevent problems Indeed, Fu-Shan has been deeply involved in developing human form and behavior analysis technology based on AI deep learning for 2-3 years The solutions include safety recognition for construction site personnel like hats and protective goggles, perimeter intrusion detection able to determine unauthorized entry, abnormal lingering, or abandoned objects within restricted areas, and excludes interference from leaves, animals, light, rain, etc Also, fire and smoke detection employs AI to overcome misreports from red and yellow colors, and foggy weather Fu-Shan’s core technology in dynamic facial recognition, using CNN convolutional neural network and powered by GPU, achieves facial recognition in just 0025 seconds It covers wide angles up to 75 degrees on the sides and 45 degrees vertically, overcoming issues from lighting, posture, and expressions, significantly enhancing recognition accuracy to 9951 It is applicable for factory perimeter safety, bank access management, facial recognition payment, license plate recognition, reaching pre-alert and real-time dealing in smart image monitoring Fu-Shan Technology’s CEO Hong Kun-Yu「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"Why does the music industry need AI What problems can AI solve" These are the questions Zeng Zhizhong, the founder and CEO of Anpu Artificial Intelligence Co, Ltd, continuously asks himself Since founding the company in 2018, Zeng Zhizhong has understood market positioning and customer needs clearly Anpu uses AI composition to seize the global environmental music broadcasting market With the system online for over a month, AI has created more than 10,000 pieces of music, serving clients across cafes, car showrooms, restaurants, and hair salons with a "legal, free" broadcasting solution, becoming the first choice for stores Zeng Zhizhong is a serial entrepreneur with a background in both the internet and music He has served as the general manager of Taihe Music Group, director of music services for Microsoft and Nokia in Asia Pacific, founded AR company Emitia Technologies and streaming company Tianlida Technology, and currently operates a company called Ouster Music specializing in film and television soundtracks With a dual background in technology and music, Zeng Zhizhong navigates AI music to solve copyright dilemmas With his sharp senses in technology and music, particularly amidst the ongoing AI boom, Zeng Zhizhong constantly contemplates how to turn AI composition into a profitable business He analyzes examples such as Spotify with 100 million paid subscribers in the USA, 1 million in Taiwan's KK BOX, and the mainland China's IPO-listed QQ Music, all operating at a loss The primary issue lies with these platforms not owning the copyrights to the music they provide, despite offering membership subscriptions They must also pay royalties to record companies and creators, leading to 'the bigger they are, the more they lose' Zeng Zhizhong, with his tech and music background, hopes to carve a niche for AI-generated music In the music industry, there are two main domains ambient music background music, BGM and pop music Pop music involves a lengthy production chain including lyric writing, composition, arrangement, singing, harmonizing, mixing, and finalization, entailing high costs and investment risks Meanwhile, ambient music, used in malls, department stores, cafes, and restaurants, traditionally sees copyrights held by music industry associations in various countries, making acquisitions costly and time-consuming However, producing music in-house circumvents copyright issues Thus, composing with AI and retaining copyrights internally becomes a key to success According to the International Federation of the Phonographic Industry IFPI report, global music market revenues in 2018 grew by 97 to 191 billion, up from 174 billion in 2017 Streaming music revenue alone reached 89 billion, accounting for 47 of the global total, nearly half Publicly broadcasted music accounted for 10-15, marking a significant portion of the market Recognizing the immense potential of the market, Zeng Zhizhong then assessed the technical capabilities of AI music, candidly stating, "AI is not a cure-all" For concert performances or chart-topping pop music, human lyricists and composers are necessary to achieve desired effects, while AI composition typically handles simple, uncomplicated melodies Assembling a large music database coupled with proprietary AI algorithms for rapid music production Anpu Music's AI composition system utilizes algorithms that include Markov chains, neural networks, deep learning methods, and combines the company's proprietary algorithm MDN Music Deeplearning Network, which conforms to unique musical algorithmic theories, thus breaking through traditional pop music structures and styles to create more market-aligned music compositions The database aggregates a large amount of sheet music data from top charted tracks and renowned songs globally, initially analyzing and summarizing the characteristics and melodies of popular quality music, then employing deep learning for efficient and excellent outcomes in AI composition BGMRADIO公播平台上集結上萬首AI音樂 Anpu provides a clear AI solution for the complex music copyright environment, with a material library owning a vast amount of clear-cut copyrights over 10,000 music tracks in 50 different styles, allowing users to freely choose suitable music to enjoy Anpu's current business model is twofold one provides a web-based platform offering 10,000 free AI-generated music tracks for online listening, and the other involves custom music services for a fee Additionally, responding to the promotional needs of the record industry and artists, it also charges for advertisement playbacks Another revenue model involves renting music players to users, charging an annual rental fee BGMRADIO公播平台與其他公播平台之比較 Zeng Zhizhong states, "Music knows no borders good music doesn't distinguish between being created by humans or AI" With current AI algorithms and related technology being quite mature, using AI to produce music is not a difficult task The key is identifying market pain points for business opportunities Anpu's market spans Taiwan, Japan, Korea, Singapore, and it aims to continue expanding into China's largest market Having founded startups for 20 years in mainland China, Zeng Zhizhong's primary reason for starting a business back home is Taiwan's rich talent pool, especially the interdisciplinary talents Unlike typical AI or music companies, Anpu requires a large number of amphibious talents capable of both programming and music The company comprises two main departments the RampD department, mostly formed from graduates from NTHU and NCTU in electrical engineering, electronic engineering, and applied music, and the music production department, where after quick AI algorithmic composition in the RampD department, highly musically educated producers refine these AI compositions into high-quality music experiences 安譜團隊大多是科技與音樂兼具的跨域人才「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

A stamp-sized flexible temperature patch became an essential tool for fever monitoring amid the ongoing COVID-19 pandemic, with orders soaring to over 500,000 units in just two months, proving useful for home isolation and medical quarantine iWEECARE, established just five years ago, has created the world's smallest connected smart thermometer, Temp Pal, which offers remote continuous temperature monitoring and alerts iWEECARE has integrated a temperature sensor into a 3-gram, stamp-sized flexible patch, which is stuck under the arm's skin and can continuously monitor temperature between 36 to 48 hours without interruption, transferring temperature data via Bluetooth to a mobile app and cloud backend, displaying real-time temperature changes and setting fever alerts In this epidemic response effort, the rejuvenated hospital, equipped with negative pressure isolation wards, installed a temperature monitoring system Unlike the common forehead or infrared temperature monitoring methods, the hospital uses Temp Pal smart temperature patches developed by iWEECARE, which are only stamp-sized 33 cm, stuck under the patient's skin under the arm, combined with a low-power Bluetooth receiver, allowing continuous monitoring of the patient's temperature, recording every 5 minutes If a case of fever is detected, the system will notify medical staff proactively, enabling them to accurately monitor the patient's condition and handle it promptly, thereby enhancing patient safety care 像郵票一樣大小的體溫貼片 醫院設置即時體溫貼片監控系統 節省超過6萬件防護衣耗損 振興醫院表示，引進監控體溫的即時體溫貼片監控系統，對隔離患者進行24小時體溫監測，醫護人員可以在不進入隔離病房的前提下，事先擷取到病患重要的生理數據，在提昇照護品質同時，醫護人員進出隔離病房的頻率可以減半，1個月即可節省約6萬5千多件防護衣的損耗。 The Temp Pal smart thermometer is not just small and capable of continuous temperature monitoring its biggest feature is the ability to 'actively and continuously monitor multiple people's temperatures,' ideal for group quarantine and mass isolation in hospitals, achieving efficient and thorough results Kang Ying-Cen, the marketing director of iWEECARE, mentioned that initially, the 'Temp Pal wearable smart thermometer' was mainly used in maternity centers or by new parents to continuously measure a baby's temperature, monitoring the temperature trends of newborns and early prevention of potential harm Unlike standard thermometers that measure at singular moments and require manual adjustment every 4-6 hours, the smart thermometer, with its personal and soft design, does not cause any discomfort to the baby and monitors temperature continuously If the temperature deviates from normal values, the mobile app will also sound an alarm to prevent scenarios where the fever could lead to grave consequences 將體溫貼片貼於腋下，36小時監控寶寶的體溫 精準掌握基礎體溫 備孕效果佳 由於連網智慧體溫計蒐集了使用者的體溫趨勢的數據，未來透過AI演算法的導入，對於婦女的排卵期有精準的掌握，一般而言，適孕婦女的「基礎體溫」是指在較長時間的睡眠（約6～8小時）後，尚未進行任何活動前（含起身下床）所測得的體溫，且每天需於相同的時間進行，此為人在一天當中最低的體溫點。在健康的身體狀態之下，溫度曲線會隨著週期間的排卵而產生升高溫的現象，也就是說，即基礎體溫在排卵日當天會升溫，想要懷孕的女性可以藉此作為受孕及避孕的基礎。 現階段除了台灣外，連網智慧體溫計也銷售至東南亞、新加坡、加拿大及歐洲等地區，其中，位於泰國，屬東南亞最大的私人醫院集團在2019年底也開始採用 Temp Pal Group System（添寶群體監測體溫系統），該醫院目前在泰國各城市有 40 家分院。以往體溫正常者平均每 4 小時護理人員要量測病患體溫一次，體溫異常者則每 1 小時需量測一次，而採用 Temp Pal 群體監測體溫系統後，智能體溫貼片每次充電可使用長達 36 小時，每日最高可減少 23 次的體溫量測頻次，估計可節省每日每單位護理人員 25 小時以上的時間。 體溫貼片以藍芽傳輸，透過手機APP傳輸溫度變化 愛微科兩位創辦人為有電池設計專長的曾軍皓及擅長韌體開發的張和逸，一開始對於穿戴式智慧體溫貼片在台灣屬於第二類醫療器材的規定認知有誤，第二類醫材要上市，不光是要取得政府核發許可證，還得通過臨床前測試，而在歐美要通過認證，至少要花一年的時間，日本市場則需要投入兩到三年通過認證，難度更高。未來1-3年內，愛微科仍將持續研發新型的態體溫貼片，以提供更多元服務。 愛微科兩位創辦人「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

What is the next consumer electronics product that will spark a market frenzy after smartphones and tablets Recently on a crowdfunding platform, a 'smart projector' raised more than NT10 million in just half a month, becoming a hot market focus Formed just over a year ago, Drip-Drop Technology's 'smart touch ultra-short-throw projector' is smaller than a tablet and weighs less than one kilogram It uses ultra-short-throw optical projection to project an 80-inch image from just 50 cm away from the wall Most importantly, the projector features virtual finger touch control This means that inside the lens, an AI algorithm is utilized, allowing the camera to actively learn to recognize fingers and the environment through machine learning When the image is projected onto a table or wall, no remote control is needed operations can be directly controlled by touching with fingers The Drip-Drop Technology team currently has 4 members, focusing on research and development The founders have over 10 years of experience in projector development and mass production, including co-founders Wang Shouzheng, You Xianglin, and Chen Zhengfang, who participated in the development of the first laser TV ultra-short-throw laser projector launched by Hisense Group in China In collaboration with Lin Zuoxian, a part-time lecturer at Ming Chuan University who also joined the team in 2019 as the general manager, handling IP, crowdfunding, and business operations management, the rest of the team concentrates on developing interactive projection technology and products to build the smart touch projector General Manager of Drip-Drop Technology, Lin Zuoxian Smart Touch Projector, a Key Player in the Future Smart Home At the end of 2018, Wang Shouzheng met Gao Yuan, a professor in the Marketing and Distribution Management Department of the Business and Management College at Gao Yuan University of Science and Technology, specializing in artificial intelligence, multimedia interaction Unity, and smart interaction devices APP They hit it off immediately, with Gao Yuan not only becoming the director of RampD but also becoming a shareholder of Drip-Drop Technology last year Wang Shouzheng explained that unlike traditional projectors, the smart touch projector can not only be controlled by touching the screen with fingers but also by hand gestures, such as swiping left or right to adjust the volume or the screen brightness It can also be used to control household appliances in the future Despite the technical challenges of projecting on tabletops and controlling by touch, continuous optimization of recognition technology through AI algorithms has been crucial Within the first half-month of its crowdfunding campaign in February 2020, it raised over ten million dollars, with an expected delivery of 400 units Wang Shouzheng believes the greatest challenge in developing the projector was dealing with AI algorithms The projection might encounter different materials such as glass, wood, or plastic, compounded by lights, angles, background, and interference such as coffee cups, creating varying parameters The projector sensors must automatically adjust to the surrounding environment to avoid false touches The projector lens processes 200 finger position frames per minute, and through continuous machine learning, the recognition accuracy has significantly increased Comparison between Smart Touch Projector and Traditional Projector AI algorithms significantly enhance precision, sensitivity, and recognition in finger touch control The Smart Touch Projector will be used in education, entertainment, and business sectors Wang Shouzheng mentioned that originally, the smart touch projector was designed for home entertainment, such as providing a larger interactive projection surface to replace traditional smartphones and tablets for family interactions However, its potential for multiple uses was soon discovered, like in smart kitchens where chefs can interact directly with the projection, avoiding issues when hands are dirty during cooking It also provides ease of use for the elderly because of larger controls and reducing eye strain Playing mobile games with a Smart Touch Projector offers a unique experience In business settings, it can be used to establish interactive projection-based ordering systems, allowing customers to directly interact and order, while businesses can integrate other digital media content to provide diverse services This includes real estate agents and insurance agents who need to attract business outside the office, as they can achieve better results through the smart touch projector Low blue light and diffuse reflection are among the technologies that help protect eye health, making the smart touch projector a significant upgrade from tablets Drip-Drop aims to secure four patents by the end of 2020 and plans to expand to mainland China within 1-2 years through crowdfunding, allowing more industries to choose smarter options Drip-Drop Technology Team「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Amid the global rampage of the novel coronavirus, countries have implemented lockdown policies, leading to emerging food shortages as many countries halt exports By integrating technology with agriculture, productivity can be increased while also addressing issues like soil acidification and labor shortages in farming Dr Chen Wenliang, an associate professor at the College of Biotechnology of National Chiao Tung University, along with students, established Agritech Translation Technology They integrated biotechnology, Internet of Things, big data analysis, and artificial intelligence to develop the 'AgriTalk Management Platform', a pesticide-free agricultural pest and fertilizer monitoring system Utilizing big data analysis and AI learning from environmental data collected by various sensors, the platform can precisely adjust and control six major production factors disease, pests, soil fertility, moisturehumidity, temperature, and light CEO of Agritech Translation Technology Chen Wenliang 'Growing up, my father planted peanuts, watermelons, and sweet potatoes in Yunlin, which gave me a special affection for agriculture and a desire to contribute what I've learned' Born into a farming family in Yunlin, Chen Wenliang utilized his expertise in biotechnology, along with the AI team led by Lin Yiping, Vice President and Professor of Computer Science at National Chiao Tung University They received NT68 million over two years from the Ministry of Science and Technology's Innovative Technology Agriculture System project, setting a benchmark for 'professor entrepreneurship' Two Major Rural Dilemmas - Soil Acidification and Labor Shortage in Farming Chen Wenliang stated that the current rural dilemmas include severe problems of soil acidification and labor shortage on farms Long-term pesticide abuse has led to soil acidification, reducing soil fertility and decreasing crop values Therefore, prior to the company's establishment, his research team isolated and developed a biological insecticidal agent from over 5,000 types of spider neurotoxic proteins, which can kill specific pests but is harmless to humans and bees After the sensors collect all data on soil, it is combined with an environmental control system Once the environment reaches specific parameters, various actions such as watering, fertilizing, and lighting are initiated to maintain optimal growing conditions Additionally, this data is uploaded to the cloud, stored as big data, and analyzed by the AgriTalk platform's AI algorithm to predict future pest outbreaks and adjust the cultivation environment accordingly, thus preventing pest issues from the source Agricultural Control Module Controls Various Machines Agritech Translation Technology selected turmeric as a crop because it is entirely edible, has few pests, a short growth period, and high economic value Currently, Agritech Translation Technology has four demonstration sites in Taiwan located at altitudes of 1,200 meters in Wufeng, Nanzhuang, Baoshan, and areas around Qionglin and Zhubei They use sensors to collect data and AI to automatically adjust soil nitrogen, phosphorus, potassium content, control moisture, and soil pH Before introducing AI, the maximum turmeric plant height was 140cm After introducing the AI management system, plants could grow to 158cm in a week, and up to 170cm overall, achieving a curcumin concentration of up to 55000mg100g 4-5 times higher than usual From Seeding to Producing High-Quality Final Crops AgriTalk Management Platform Prioritizes High Economic Value Crops for Introduction Following the successful introduction of turmeric, Agritech Translation Technology's next phase will introduce the cultivation of dan-shen using the AgriTalk Management Platform, continuing to prioritize the cultivation of high economic value crops in the future Chen Wenliang indicated that he once saw an 80-year-old farmer still working bent over in the fields in Nanzhuang, highlighting the severe labor shortage Also, traditional farming knowledge is gradually being lost Agritech Translation Technology aims to attract young farmers back to agriculture and preserve the older generation’s planting expertise through an AI algorithm, establishing an expert system Generally, with a single master's guidance, all data is captured, allowing even novice farmers to quickly cultivate crops with the aid of the expert system Agritech Translation Technology adopts a one-stop service approach for farmers, from sensor integration to monitoring and management platform implementation, even buying the produce at double the price, to attract enterprises and agricultural product channels to invest, creating a guaranteed contract farming business model, thereby finding a sustainable and profitable model for the entire rural area and Taiwanese agriculture This will attract more young people to return to rural areas, and solve the labor shortage problem Besides its own sites, the company adopts a flexible partnership model to promote its products, offering complete solutions, using single products, or even just AI services With complete solutions and significant results, Agritech Translation Technology's system not only became a focal point of Taiwanese agriculture but also has partnerships in Japan, the Philippines, the USA, and even Armenia in West Asia, introducing the system to crops like bananas, grapes, and olives Chen Wenliang noted that the AgriTalk Management Platform elevates agriculture from semi-automated or manual processes to automated and AI-enhanced, creating a win-win situation for both the economy and agricultural environmental protection「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Taiwan is known as the 'Kingdom of Shrimp Farming' However, due to drastic weather changes and the inability to pass on farming experience, the risks for farmers are increasing Through AIoT Artificial Intelligence combined with IoT, Kuanwei Technology has started a trend in smart aquaculture, innovating the traditional aquaculture value According to the statistics from the Council of Agriculture, the total fishery production value in Taiwan is around NT100 billion, of which NT60 billion is contributed by offshore fisheries through exports, and NT40 billion is from coastal and aquaculture fisheries The aquaculture industry, which spans 40,000 hectares, has been a strong support in Taiwan's progress from the 'Kingdom of Eels', 'Kingdom of Shrimp', 'Kingdom of Ornamental Fish' to the 'Kingdom of Tilapia' However, affected by drastic changes in weather, the winters of 2018 and 2019 were notably warm, averaging the highest temperatures in 72 years, disrupting the breeding cycle of fisheries and severely impacting production AI Fish Farming Reduces Costs by 30 and Increases Production Capacity by 30 Although fishermen also 'depend on the weather for food', they can minimize risks with the aid of artificial intelligence Located in Hsinchu, Kuanwei Technology focuses on the development of IoT systems and AI algorithms for the aquaculture industry, developing the 'Water Jewel Smart Aquaculture Monitoring System' and the 'Smart Device Control System' These assist operators in obtaining real-time data such as temperature, dissolved oxygen DO, pH value, redox potential ORP, and salinity With the smart device control system installed, users can start water wheels and set automatic feeding depending on dissolved oxygen in the water Fishers only need to use a mobile app to keep track at any time, allowing for early prevention and reducing losses By adopting technology in aquaculture, costs are effectively reduced, creating endless business opportunities Fishermen can accurately monitor and control the water quality and growth process of aquatic products, hence providing safer food to consumers Kuanwei Technology's CEO, Tsai Cheng-hsun, indicated that traditional fishing methods involve measuring water quality twice daily and feeding based on experience, which not only is time-consuming but could also negatively affect water quality due to environments' drastic changes or overfeeding The 'Water Jewel Smart Aquaculture Monitoring System' continuously collects data every five minutes, gathering up to 1,000 data points per day if any abnormality occurs, such as overfeeding causing turbid water pollution, or abnormal water temperatures, it communicates these problems to the fishers via the app, allowing immediate remediation AI Monitors Water Quality Changes Kuanwei Technology's CEO Tsai Cheng-hsun Tsai Cheng-hsun stated that by monitoring data and keeping it within normal ranges, they can avoid unnecessary water stirring or feeding, thus maintaining water quality stability and reducing costs Typically, half of the farm costs are feed and electricity accounts for 15-20 According to research by Dr Luo Yong-zhong from the National Cheng Kung University 'Microalgae Biotech and Engineering Lab', after implementing the 'Water Jewel Smart Aquaculture Monitoring System', electricity costs can be reduced by nearly 60, and with reduced feed input, the overall farming costs can be reduced by 30 300 Pools Across Taiwan Adopting Water Jewel Smart Aquaculture Monitoring System A study by the Ocean University also pointed out that technological equipment, along with basic infrastructure such as waste pipes, should increase the aquaculture output by 30 For fishers, smart aquaculture truly helps in increasing profits significantly Aquaculture expert Huang Guo-liang in Tainan's Jiangjun area is the third generation cultivating milkfish, utilizing ecological balance and friendly farming methods through smart monitoring systems for problem detection and optimizes productivity while reducing costs Tsai Cheng-hsun stated that the Water Jewel leverages solar power, reports fish pond water data every 5 minutes, and for the Giant Grouper, for example, which needs at least three years to grow and weigh about 20 kg to be marketable With temperature alerts set at 16 degrees Celsius, if a cold snap occurs and temperatures drop below 10 degrees Celsius, Giant Grouper could freeze to death By monitoring such instances, preventive actions can reduce losses Kuanwei Technology currently has introduced its system to 300 farming pools across Taiwan, including in Hsinchu, Fangliao, Hualien, and Taitung, employing Water Jewel's remote water quality and environmental monitoring, smart energy-saving, automatic feeding, and automated production traceability features This allows every farmer to record their farming data and process according to their own habits They can choose to manually control or use AI assistance for real-time alerts and also monitor sites through remote video links to make the Water Jewel aquatic farming IoT system more accessible Water Quality Monitoring Equipment Fishermen, reliant on the weather, can now monitor aquaculture pond water quality through the AI monitoring system Tsai Cheng-hsun, currently the first term manager of the Taiwan Artificial Intelligence School Hsinchu branch and the vice president of the Taiwan Artificial Intelligence School Alumni Association, is deeply committed to AI research In the future, Kuanwei Technology will continue to optimize data, proposing more applications, and has received recognition from Intel for IoT solutions maturity in Taiwan By utilizing cloud, big data IoT, and AI technologies and equipment with scientific data management, along with continuous data logging and AI algorithms, it can quickly uncover potential risks, effectively preventing and reducing aquaculture losses At the Kuanwei Technology exhibition, vice presidential candidate Lai Ching-te second from the left also attended to show support「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

It's common for hypertension patients, especially those over the age of 60, to have the habit of measuring their blood pressure However, using inflatable cuffs can be quite inconvenient From now on, there is a more convenient choice for hypertension patients Maisense's smart, sleeveless blood pressure monitor, making measuring blood pressure no longer a cumbersome task 'Pulse' is an important physiological signal Established in June 2012, Maisense Inc specializes in designing 'mobile medical electronic devicesservices' Its first product, the 'Freescan smart sleeveless blood pressure monitor', is the first in the US to measure blood pressure directly from the wrist pulse without the need for an inflatable cuff It is a medical-grade product and has obtained the EU CE certification for medical materials Blood pressure measured directly from the wrist pulse 'Mai' in Maisense is derived from the Chinese word for 'pulse', which is an important physiological signal in both Western and Chinese medicine Amidst an aging population trend, the medical industry is viewed as very promising for the future, however, it remains one of the few basic industries that has not been fully modernized through internet technology Compared to many industries that strive to please consumers such as retail and banking, the traditional hospital-centered medical structure provides little choice for patients Now, with the trend centered around hospitals changing, the medical industry is facing a new paradigm shift The widespread use of smartphones makes personalized, patient-centric medical care practically feasible, and this type of care is the most effective way to address lifestyle diseases The world's first cuffless medical device - measures blood pressure in just ten seconds As societies age, cardiovascular diseases are not only the leading cause of death worldwide but have also continuously ranked among the top two or three causes of death locally for several years According to statistics from the National Health Department, nearly ten thousand people suffer from cardiovascular-related diseases each year, posing a serious threat to public health and a disease not to be taken lightly in modern society However, the golden rescue time for cardiovascular diseases is very short, needing accurate diagnosis and the right measures to reduce the mortality rates 10-second blood pressure measurement diagram Maisense's Freescan is the world's first cuffless medical device capable of measuring blood pressure in just ten seconds Paired with myFreescan Apps, it quickly measures cardiovascular-related stroke factors, with atrial fibrillation AFib sensitivity reaching up to 967 The device integrates multiple cardiovascular monitoring functions such as blood pressure and electrocardiograms myFreescan health management page Each measurement result can be synchronized with mobile devices, instantly revealing more cardiovascular parameters like atrial fibrillation, with the help of AI technology which assists in analyzing personal data to keep individuals informed about their health status and progress Subsequently, doctors can provide recommendations based on AI-analyzed results when necessary, ensuring an added layer of health protection Data synchronization with mobile device illustration The Freescan product has evolved from a sleeveless blood pressure monitor to a mobile cardiovascular monitoring instrument It can measure key predictive factors for stroke such as blood pressure, atrial fibrillation, arrhythmia, and arterial elasticity without the need for an inflatable cuff This effectively helps to prevent the incidence of strokes and provides the elderly with a more convenient and comfortable option「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」