Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

Looking around the world and in Taiwan, the number of patients suffering from vertigo is increasing year by year When faced with vertigo testing, most people will choose to have it diagnosed by a doctor or hospitalized with neuromedical imaging tools such as MRI or CT for interpretation However, this may lead to misdiagnosis of vertigo, overdiagnosis of patients, waste of medical resources, etc, and cannot be effectively traced back The actual condition of the patient's dizziness In order to solve the long-term clinical pain point of vertigo, Neurobit has developed a smart wearable medical device - NeuroSpeed smart glasses and an AI assistance system It provides an AI smart solution for rapid screening of vertigo, assisting doctors in quickly screening more than 80 of brain diseases Efficient detection power with accuracy and sensitivity of over 90 Neuron Technology was founded in 2016 The co-founders include Yang Juncheng, Chen Weicheng, Huang Jinxun and Wang Jingfu The four of them were studying at the National Taiwan University Medical Engineering Institute and the Creative Entrepreneurship Program to jointly offer the "Biomedical Innovation and Commercialization" course Next, let’s embark on the entrepreneurial journey together The core team members of Neuron Technology are mainly composed of cross-field experts in medical engineering, information technology, neurology, patents, business, etc The common entrepreneurial concept is to continuously explore and explore unsolved pain points in medical clinical practice Seeing that patients were suffering from vertigo, Neuron Technology invented and independently developed an efficient and practical wearable smart medical device, NeuroSpeed Smart Glasses, which combines hardware AI-assisted decision-making system software to provide an AI smart solution for rapid dizziness screening Neuron Technology CEO Yang Juncheng said that the proportion of people in Taiwan and the world who suffer from vertigo is very high In Taiwan, as many as 3 of the people about 700,000 suffer from vertigo, while in the United States, about 1,000 people suffer from vertigo Tens of thousands of people go to see a doctor due to vertigo From the data, it can be seen that the vertigo medical care market is quite huge Regarding rapid screening for vertigo diagnosis in the clinic, current rapid screening tools in hospitals mainly use neurological examinations, and most of them are processed through questionnaire-type scales The diagnosis will rely too much on the patient's chief complaint and the doctor's experience judgment, and lacks quantitative indicators, resulting in Misdiagnosis of vertigo and loss of golden treatment time For patients with vertigo who are admitted to the emergency department, medical diagnosis in the past relied heavily on neuromedical imaging tools such as computed tomography CT or magnetic resonance imaging MRI After observation, it was found that the equipment was insufficient In the United States, the number of patients admitted to the emergency department Less than 3 of the population can receive immediate MRI diagnosis, and less than 50 can receive CT diagnosis However, excessive use of CT or MRI diagnosis may lead to overdiagnosis and treatment of patients, and even waste of medical resources In order to help vertigo patients accurately and efficiently screen and triage and reduce over-diagnosis in clinics and emergency rooms, NeuroSpeed Smart Glasses, a wearable smart medical device developed by Neuron Technology, is believed to have a great impact on the overall application of medical resources and patient diagnosis and treatment It is very helpful Yang Juncheng said that if it is not necessary to use MRI to track the diagnosis, this device can be used as a rapid screening test before the existing MRI neuroimaging tools and after the patient is admitted to the hospital, reducing over-diagnosis of patients NeuroSpeed's examination method is to quickly screen for nystagmus to identify patients with potential brain diseases The examination method of this technology is to observe the trembling state of the eyes and a series of eye movements when the subject is staring at a stationary object, so as to judge Brain risks for appropriate diagnosis and treatment NeuroSPeed smart glasses can crack brain and eye diseases, clinical trial sensitivity reaches 90 With the active research and development of Neuron Technology, two generations of NeuroSpeed smart glasses have been successfully launched The first generation NeuroSpeed mainly provides doctors with real-time observation of high-quality eye images and eye movement response-related examination data reference, and does not provide auxiliary diagnosis services The second generation of NeuroSpeed allows physicians to record, track, store and view relevant eye movement analysis and pupil area identification, thereby effectively diagnosing diseases of the central, meridian and peripheral nervous systems Because the second-generation NeuroSpeed product has the function of assisting doctors in analysis and diagnosis, it has been classified as a Class II medical device in the United States and must be certified by the US FDA before it can be sold externally At this stage, this product has completed pre-submission and will be submitted for review after the biocompatibility test is completed It is expected that the second generation NeuroSpeed will successfully obtain US FDA certification next year In terms of actual verification fields, NeuroSpeed has currently cooperated with New Taipei Shuanghe Hospital and Taichung Tzu Chi Hospital for clinical verification Its clinical results have confirmed the classification judgment of central nervous system diseases such as stroke and other vestibular system diseases With the addition of NeuroSpeed Smart glasses are designed to be lightweight and easy to carry, detect quickly and easily, and have the functional characteristics of automatic interpretation They can effectively assist doctors in quickly screening for potential brain disease risks in patients with vertigo Field verification with foreign medical centers mainly involves vertigo patients admitted to the emergency department Physicians can use NeuroSpeed smart devices to interpret the phenomenon of stroke diagnosis Currently, the accuracy of clinical trials in the above-mentioned cooperative hospitals reaches 80 and the sensitivity reaches 90 Neuron Technology develops smart wearable medical device NeuroSpeed smart glasses In addition to becoming the best smart medical assistant for doctors to quickly screen brain disease risks in the clinic and emergency department, NeuroSpeed smart glasses also assist doctors in the detection and assessment of strabismus risk They are jointly developed with the Tri-Service General Hospital through neuron technology The "Portable Strabismus and Abnormal Eye Movement Diagnosis System" is implemented in the Tri-Service General Hospital, providing doctors with a complete preoperative assessment of strabismus and postoperative tracking basis This excellent RD technology achievement was recognized by the 17th National Innovation Award-Clinical Innovation Award in 2020 We know that many diseases can cause congenital or acquired eye movement abnormalities, and even cause symptoms of strabismus or nystagmus Among them, as for strabismus, according to expert physician consultation surveys, the global prevalence of strabismus among school-age children is 2 5, while the prevalence of strabismus among school-age children in Taiwan is about 1 to 4 Yang Juncheng said that clinical diagnosis of the symptoms of these diseases is mainly divided into two categories deviation measurement of eye position and eye movement test It has been observed that there is currently a lack of objective quantitative methods for diagnosing eyeball position deviation, and eyeball deviation measuring instruments are used to check subjectively For Neuron Technology, the current NeuroSpeed instrument and strabismus and abnormal eye movement diagnosis system software can integrate objective and clear eyeball images, eye muscle function and eye deviation angle data as a rapid test that meets clinical diagnostic criteria Service, the data of these tests can be used as the basis for doctors’ complete preoperative assessment and postoperative tracking of strabismus Therefore, this system can provide objective and effective quantitative analysis, which can greatly reduce the medical risks of patients during surgery In terms of business model, Neuron Technology mainly cooperates with hospitals to sell research-based products It is believed that the company expects to have significant revenue performance after passing the FDA next year At present, Neuron Technology will use the country's first wearable smart medical device NeuroSpeed smart glasses and AI assistance system to provide software and hardware integrated solutions to assist doctors in quickly screening brain diseases and eye diseases, extending patients' golden treatment time and reducing social risks health care costs to create a triple win NeuroSpeed smart glasses assist doctors in quickly screening brain and eye diseases Looking at the world, the pioneer of smart medical equipment, a new paradigm of biomedical software and hardware system integration In the early days of Neuron Technology’s entrepreneurship, technology research and development and business expansion faced many challenges Yang Juncheng expressed his sentiments that since the NeuroSpeed product is the first medical smart glasses developed in China, both in terms of obtaining hardware raw materials and developing technical specifications, The challenges associated with building and integrating related systems are higher than those for consumer electronics Additionally, bringing together cross-disciplinary talent and integrating it into a core team is also an entrepreneurial challenge In terms of business development, although the company has accumulated clinical verification results and published related outputs, the establishment of market channels still requires continuous efforts to expand It is hoped that it can continue to rely on the assistance of legal persons such as the Capital Strategy Council to actively create more diversified market channels and connect potential Cooperating manufacturers In order to accelerate international expansion and market operation exchanges, the company will conduct a new round of fundraising planning at this stage to meet development Since its establishment, Neuron Technology has taken long-term development and stable profits as its operating goals Yang Juncheng said that in addition to focusing on existing professional fields, we also develop and apply value-added products through the company's software development and software development The accumulated RD energy of hard integration is expanded to other medical disciplines and fields Yang Juncheng hopes that Neuron Technology can become a pioneer in smart medical equipment, with research and development oriented to meet the needs of users and patients, and also hopes to become a model for the integration of biomedical software and hardware systems For the medium and long-term layout, the company will promote industry-university exchanges and cultivate biomedical talents integrate upstream and downstream industry resources to create smart medical solutions and platforms and actively explore foreign sales markets such as the United States and Europe as a basis for sustainable development of the company Vision 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

A young girl, alone in Los Angeles, USA, is looking for a dream, a dream that allows the music creator to find her soulmate again with the music she buried deep in the hard drive Li Zihui, the founder of iFeiMedia, has a background in science and engineering, but she has a strong gene for musicians In order to help global musicians create music and find the "best partner" who can successfully match them, she founded iFeiMedia Ping Company provides a one-stop AI video and music matching platform AV Mapping to help video creators quickly find copyrighted original music One-stop AI image music matching solution to find innovative business opportunities for music creators Generally speaking, in the past, video creators had to work on video music, including composing lyrics, music, and finding copyrights It usually took two weeks Through the AV Mapping video and music matching platform, it can be instantly matched to a suitable video in 10 seconds Music, musicians can also remarket their creations to gain profit sharing, creating a win-win situation This new, decentralized operating model is also favored by the descendants of the late Taiwanese music master Li Taixiang On the platform, you can relive a time when music creation was free to fly Li Zihui has practiced piano since she was a child, participated in choirs and wind bands, and composed her own music Although she studied science and engineering in college - the Department of Surveying and Spatial Information at Cheng Kung University, she joined the imaging team to work on soundtracks from her junior year , and went to the Applied Music Department of Nanyit University to audit After graduating from college, Li Zihui decided to obey the voice in her heart and become a music dreamer Aifei Matching provides a one-stop AI image and music matching solution Aifei Matching provides a one-stop AI image and music matching solution, which mainly uses artificial intelligence image recognition and music analysis Image creators can search and match suitable music by themselves on the platform, and use the system to It can shorten the duration of the soundtrack from 8 hours to a few seconds, a significant reduction of nearly 2,000 times Li Zihui said that in addition to creating suitable soundtracks, traditional video scoring projects also require a lot of time and cost in communication and search, including subsequent post-production processing such as arrangement and recording, and music licensing, which are even more time-consuming and labor-intensive With the assistance of AI, creators can focus all their efforts on creation without worrying about finding suitable music or having their music copyright stolen Integrated virtual and real marketing, from transaction to contract signing with one click At present, AifeiMeiping's music database has a total of 60,000 tracks in more than 60 categories, covering music from Europe, America, Asia and other parts of the world, including pop, EDM, rock, Irish music, etc The original decentralized concept of iFlyMediaPing further protects the rights and interests of musicians Musicians on the platform can set their own prices and track the transaction process, achieving open, transparent and decentralized features There are currently more than 7,000 video and music creators on the platform Music creators who successfully trade on the platform can share profits of more than 40, up to 50 The two parties transact and complete the contract on the platform, and the procedure is very simple AVMapping has a total of 14 AI models, making it easy to find speed dating music Li Zihui said that the AI image music matching solution has a total of 14 AI models The method is to disassemble all elements, conduct music analysis through image recognition and text recognition, and then use machine learning algorithms to train extensively The characteristics of images and music are listed, which can quickly match the soundtrack that suits the image situation, atmosphere, and rhythm In addition to online matchmaking transactions, Aifei Matchmaking also holds physical concert events, inviting music and video creators to participate The content of the event revolves around the display of AI video soundtracks, and a video directed by the director is used on-site to allow music creators to participate PK soundtrack or take out a demonstration video and let AI match it It only takes 10 seconds The images and music matched by AI are very accurate in terms of mood and atmosphere, which amazed the participants Three years of research and development won the Red Dot Design Award, using technology to support the development of music and art Aifei MatchPing spent three years of research and development, and the platform was officially launched in August 2021 In January 2022, it participated in the CES event in Las Vegas, USA, which attracted great attention from reporters present and received more than 100 awards in total media reports, the number of uses in a month has exceeded 1,000 times, attracting 7,000 video and music creators to join the matchmaking platform According to statistics, in the initial stage, the proportion of matchmaking transactions between the United States and Taiwan is evenly divided Li Zihui said that the licensing methods of traditional music are very complex, including types of works, types of copyright property rights, etc To obtain authorization for a song, one must go through a songwriting agency, a collective management group, a production company, a record company, or even a composer , lyricists, it is very cumbersome, and musicians may not necessarily get profit sharing Through the AI image music matching platform, all transaction contracts are completed online, music creators can gain profits, and their creative enthusiasm is constantly stimulated Three steps to help video creators easily complete the soundtrack work It is worth mentioning that NFT Non-fungible token, also known as non-fungible token is currently very popular in the art and cultural market What is the possibility of introducing it into the field of video and music Li Zihui said that the current transaction fees gas fees of Ethereum remain high, and coupled with the conclusions she obtained from attending many gatherings in Los Angeles, the acceptance of NFT is still in the process of brewing However, Aifei Matching is still optimistic about the future of NFT Trend, in the foreseeable future, relevant technologies will still be introduced into the AV Mapping platform to provide more diversified trading methods In order to rapidly expand overseas markets, Li Zihui continues to seek funding from international strategic investors in San Francisco At the same time, due to the appropriate control of the epidemic in Los Angeles, the industry is gradually recovering, and Li Zihui also participates in many offline creative gatherings Aifei Media hopes to become a bridge connecting images and music, introduce well-known user cases in the international market, and let more creators see the power of the platform Aifei Media Ping also frequently reports good news After winning the DSA Digital Advertising Singularity Silver Award and the AWE Female Entrepreneurship Best Potential Award co-organized by the American Institute in Taiwan and META, the one-stop AI video and music matchmaking company founded by Li Zihui The platform AV Mapping also won the Best of the best in the Design Concept of the German Red Dot Award in 2020 We hope to continue to be based on technology and nourished by art Support music creators to create better works Li Zihui, the founder of Aifei Matchping, has won many international awards and is a female entrepreneur with great potential「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」