:::

【2020 Solutions】 Robot financial management helps investors balance risks and profits

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 U.S. stock market continued to plummet after opening, triggering the third circuit breaker in the U.S. 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.

Intelligent financial management APP Growin, use AI and quantitative models provide customized investment and financial services in ETFs and individual stocks

▲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 U.S. 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 0.5%-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 U.S. market. Among them, the average investment return rate based on different risk investment portfolios is 4.5%. -18% or so, and ETF is between 4.5% 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

▲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 classifiers/models 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.

Co-founded by Li Ding Information Technology People and CEO Peng Hansheng

▲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」

Recommend Cases

【解決方案】AI電眼取代人眼 慧演智能運用AI幫製造業做品管
Using AI vision to replace human vision, Claireye Intelligence uses AI to help the manufacturing industry with quality control

In response to customer demand on a wide variety of products in small quantities in the manufacturing industry, there is an urgent need to find AI solutions from the cloud to terminals Claireye Intelligence provides a solution that integrates software and hardware - BailAI image inspection solution to assist traditional manufacturing industries in improving process efficiency and product quality, thereby achieving the initial goal of transformation After the government declared 2017 to be Taiwan's "First Year of AI," AI startups have sprung up in Taiwan Established in 2018, Claireye Intelligence targets smart manufacturing and provides a platform for AI image analysis and process optimization, using the power of deep learning to detect product defects and abnormalities in the assembly process It assists companies in building infrastructure from terminals to the cloud, which enables automated monitoring of factory production to improve process efficiency and quality Focusing on AI image inspection based on its familiarity with the production line quality control process Shirley Liu, founder and CEO of Claireye Intelligence, is a young entrepreneur She entered the manufacturing industry after graduating from college and held a quality control position in the plastic injection process of hard disk parts "She was already on the production line at the time, and is familiar with the production line process of production machinery" She later switched career paths to marketing and planning, and then worked as an AI product manager When the time came, Shirley Liu decided to start a business, focusing on AI image recognition in the manufacturing industry "The difficulty for enterprises is the lack of an AI development team Even if an enterprise has an AI team, development projects will take a lot of time, at least 6-12 months" said Shirley Liu, who is well versed in the market's pain points The problem that needs to be solved by platforms is to provide services that allow traditional manufacturing industries to build their own AI models without needing employees with a programming background, and to remotely assist production lines with troubleshooting and subsequent system maintenance, helping companies save development time and labor costs BailAI image inspection platform usage scenarios Facing the large number of competitors that provide AI image recognition in the market, what are the technical advantages of Claireye Intelligence Shirley Liu said that many companies currently have AOI equipment, but the bottleneck in the application of AOI is that it can only be used for defect inspection in fast production of large quantities, and parameters need to be adjusted after each inspection or production Based on her understanding of the industry, most SMEs are limited by their financial resources due to AOI equipment often costing over NT1 million, but they also want to use automated inspection This is where Claireye Intelligence comes in Shirley Liu went on to say that it is impossible for traditional manufacturing industries to maintain a technical team that includes AI engineers, data engineers, cloud architects, and terminal architects Claireye Intelligence specializes in software and hardware integration Enterprises can use the BailAI image inspection platform to easily solve inspection problems on the production line In other words, customers only need to provide images or samples for Claireye Intelligence to carry out model training, model deployment, and system integration, and they can easily use AI technology to optimize and monitor production line processes Participated in the AI New Talent Selection and achieved a recognition rate of over 90 in assembly behavioral image recognition For example, a certain connector manufacturer only has 1-2 AI engineers in its technical team The main problem that needs to be solved is that most operators are on the production line, while quality control and senior managers are not on site, and the company wants to understand the actual situation of the production line through remote monitoring Claireye Intelligence uses industrial cameras to capture production line images, and transmits AI image analysis to the remote end Supervisors and quality control personnel can observe if there are any errors in the production line assembly, such as whether the connectors and lines are connected properly, through the monitor Claireye Intelligence's AI image inspection operates on Microsoft's Azure cloud platform, and also utilizes terminal equipment, such as NVIDIA's edge computing equipment placed around the inspection station, to assist traditional manufacturing industries with improving production line efficiency and detecting problems early through an integrated solution from the cloud to terminals Claireye Intelligencersquos customers currently include aviation, electronic peripherals, connectors, and metal industries Assembly process solution for human behavior recognition in assembly lines achieves an accuracy of over 90 In order to demonstrate the depth of technology, Claireye Intelligence participated in the 2021 AI New Talents Selection of the Industrial Development Bureau, Ministry of Economic Affairs, and provided Lite-On Technology with the "assembly process solution for human behavior recognition in assembly lines" The solution determines effective working hours and ineffective working hours of operators on the production line through cameras and AI image recognition It recognizes hand posture and position through images to determine the operator's assembly behavior, achieving an accuracy of over 90 Shirley Liu added that the assembly process of electronic components is complex, mostly carried out manually, and cannot be replaced by robotic arms Claireye Intelligence used cameras to film the assembly process of operators at Lite-On's assembly station The algorithm is then trained and corrected based on the video, and the final trained model can directly determine whether there are any errors in the assembly process to improve the overall process Project development time is expected to be shortened to 1 month by using the BailAI image inspection platform Since its establishment more than three years ago, Claireye Intelligence has accumulated a considerable amount of project experience and hopes to commercialize the project experience Shirley Liu pointed out that the trial version of BailAI image inspection will be completed this year 2022 Customers can choose industrial cameras or video cameras based on the detail of the object being inspected It can even use X-rays to capture images, and then the images are automatically marked by the platform Claireye Intelligence will provide customers with AI application models suitable for the field Inferences can also be made in the cloud or terminals for launch in the manufacturing industry The metals industry, metal casings of industrial computers, connectors, electronic peripherals, and mechanical parts can all use the platform for defect detection and object identification Claireye Intelligence will continue to improve its technical capabilities, accumulate customer experience to complete commercialization, and also accelerate the implementation of AI inspection applications In the mid-term, it will build terminal and cloud infrastructure and shorten the development time of enterprise AI projects from 6-12 months to 1 month, reducing usage time and lowering the threshold for enterprises The long-term goal is to target the Southeast Asian market where Taiwanese businesses are gathered, expand software and hardware integrated AI solutions to overseas markets, and expand the scale of operations

【解決方案】破壞式創新商模 奇翼醫電推出行動醫療裝置- 心電圖傳感器 打造遠距醫療當中最後一塊拼圖
Disruptive innovative business model Qiyi Medical Electronics launches mobile medical device-ECG sensor to create the last piece of the puzzle in telemedicine

With the advent of the post-epidemic era, the development of global telemedicine is in the ascendant, which has greatly increased the demand for smart medical technology in decentralized medicine Among them, if mobile medical devices can provide real-world at home or outside the hospital data for use in hospitals, it is believed that it will reduce the burden of diagnosis and treatment on doctors or medical personnel and reduce health insurance expenses To this end, Singular Wings Medical has launched a comprehensive telemedicine solution, which combines excellent wearable mobile medical device design, innovative software development, AI algorithms and cloud platform services, and will become the last piece of telemedicine puzzle David Lee, the founder and general manager of Qiyi Medical Electronics, said that his original intention to start the business was because he witnessed Taiwan's long-term pursuit of low-cost mass production, which led to the continuous decline in the value of the industry For example, in the past thirty years, The output value of the former Silicon Valley was similar to that of Taiwan's Hsinchu Science Park, but thirty years later, the output value of Silicon Valley reached US14 trillion at the end of 2020, while the output value of Hsinchu Science Park was less than NT15 trillion at the end of 2021 Seeing Silicon Valley's sensitivity to industry needs and disruptive innovations such as Uber, Airbnb, industry trends and the post-epidemic era have driven a surge in telemedicine services, thereby creating high industry value, so I started a business at the age of 45 and conceived how to combine it with Taiwan After more than ten years of accumulated industrial advantages and Silicon Valley's innovative model, we decided to help Taiwan's industry upgrade and find a new path through the integration of the medical industry, ICT technology industry and innovative business models Seeing that Taiwan has always been a gathering place for the most elite talents in the medical industry and electronics and electrical industry, I believe that through the combination of the two and innovative business models, we can have the opportunity to follow Silicon Valley and create a different business According to Taiwan’s Communication Diagnosis and Treatment Methods, Taiwan’s market demand for telemedicine is divided into two situations emergency such as COVID-19 and special necessity such as special geographical locations such as outlying islands or mountains It is allowed Carry out communication medical diagnosis In fact, the development of global telemedicine decentralized medicine is in the ascendant, but the demand for smart medical technology to meet decentralized medicine still needs to be realized In addition to the medical technology gap, it also includes medical treatment flow, patient identification, remote Remote consultation and collection are fueling the push for smart medical technology Li Weizhong observed that for telemedicine decentralized medicine to be successfully implemented, it is best to use telemedicine devices that are used outside the hospital or at home and are easily available in daily life Among them, the data of the device is the key It can provide doctors with out-of-hospital real-world data Real World Data or Real World Evidence that they can trust and apply, so that they can improve their diagnosis and treatment methods In fact, this type of telemedicine device is not popular, making remote medical care difficult to complete In addition, as the number of wearable devices such as bracelets and watches increases, most of the data that these devices can truly provide is insufficient for medical purposes and is not easy to validate and verify Li Weizhong said that people are paying more and more attention to health awareness, which is a positive encouragement for telemedicine devices He believes that as long as there is an appropriate business model and the right way to cooperate with hospitals and doctors can reduce the burden on doctors or medical personnel and reduce health insurance expenditures, Qi Yi Medical Electronics will definitely have the opportunity to become the last piece of the puzzle in telemedicine Founded in 2015, Qiyi Medical Electronics’ core team consists of 22 diversified professionals, including young engineers with medical, engineering and information backgrounds and experienced entrepreneurs, working together to create an overall solution for remote healthcare The solution includes hardware design, software development and backend cloud platform services for the mobile medical device Beatinfor Health electrocardiogram sensor Electrocardiogram ECG is one of the most important vital signs body temperature, pulse, respiration and physiological data of the human body, which can reflect various physiological changes in the human body, such as cardiovascular health, inflammation, infection, bleeding, injury or anxiety index changes For this core concept, Qiyi Medical is committed to using wearable electrocardiograms as its core technology, while collecting important vital signs and environmental parameters such as electrocardiograms, and building AI algorithm systems and backend cloud platform services based on big data and machine learning to help solve remote problems Specific chronic diseases such as cardiovascular disease, sleep problems, and metabolic diseases are the most important in medical treatment Electrocardiogram sensor continuous physiological data monitoring reduces the risk of death in acute heart failure patients by 11 within 30 days after discharge In order to realize remote medical services, Qiyi Medical Electronics has launched a complete set of remote medical care solutions, including wearable mobile medical devices-electrocardiogram sensor BEATINFO ECG, BEATINFO HEALTH APP, and AI algorithms , web pages and BEATINFO HEALTH cloud service platform The BEATINFO ECG sensor is an exclusive device for the BEATINFO HEALTH APP health cloud platform It can be used continuously for 40 hours when fully charged The device is only 15g This sensor can collect the user's electrocardiogram, respiration, and skin temperature through a patch or chest strap , body movements, postures and environmental parameters Currently, BEATINFO ECG sensor has 8 patents in the United States and Taiwan, and won 2 German iF Design Awards in 2017 Mobile medical device-electrocardiogram sensor can provide continuous physiological data monitoring In terms of overall technical features, the BEATINFO HEALTH cloud service platform has four key physiological data detection characteristics continuity, long-range, real-time and dynamic In terms of operation, users can download the BEATINFO HEALTH APP on Android or iOS systems Its interface can provide physiological data status, order health assessment reports such as one-day sleep assessment report or cardiovascular health assessment report, and high-intensity exercise test Cardiovascular assessment reports, third-party remote medical consultation services and other functions Users use patch-type or chest-strap ECG sensors paired with end-to-cloud platforms for continuous physiological detection Before being transmitted to the cloud for further calculations, all data will be de-identified and made available to professionals Data reports are provided for physician judgment The BEATINFO HEALTH cloud service platform has powerful noise filtering processing capabilities, fast waveform recognition and judgment, as well as highly complex cloud architecture and communication technology Why is the noise filter processing capability so important Because medical equipment in general hospitals must require users to complete short-term measurements under static conditions Usually, data in life situations outside the hospital cannot be collected by the hospital, and this data is very important to doctors It is increasingly important to understand the progression of the disease and the condition of patients leaving the hospital Therefore, if we continue to record very weak ECG signals in daily life, we actually need to overcome a very high technical threshold After these signals are processed by the noise, they will first be judged by the AI algorithm before preliminary and rapid conclusions can be made Users can instantly avoid certain fatal risks The cloud architecture provides a deeper level of second-order computing and also covers the business model architecture It provides service models such as user management, automatic report generation, record keeping, alarm notifications, and connection with more services such as third-party alarms Emergency rescue, third-party medical consultation, doctor and patient docking, medical treatment cash flow and other functions In terms of competitive advantages in the industry, compared with the industry's braceletwatch products, Qiyi Medical's electrocardiogram sensor BEATINFO ECG provides accurate medical-level measurements, and can continuously record and collect physiological data, improving any Sudden or sporadic symptoms may occur Compared with the electrocardiogram patch of its peers, it provides real-time data return and web-based management tools, and can produce various reports for managers to remotely manage a large number of users on the web According to statistics from Beijing Medical University, the mortality rate of patients with acute heart failure within 30 days after discharge is as high as 11 If an electrocardiogram sensor is installed on the patient for continuous and real-time monitoring for 30 days, it is possible to reduce part of the risk of death, and at the same time, it can Significantly reduce health insurance costs Additionally, in the case of cardiovascular disease, if the user wears the device for a period of time, regular cardiovascular assessment reports can be obtained and provided for follow-up in-depth examinations by doctors In addition to the measurement of cardiovascular diseases, the ECG sensor configuration can provide home assessment of sleep apnea OSA During the measurement, patients can discover potential and easily overlooked cardiovascular diseases, and users do not need to stay in the sleep ward for treatment After a boring night, through the ECG sensor patch and AI algorithm, patients only need to sleep at home for one night to receive an OSA test report If needed, doctors can access patient status remotely and instantly via any internet browser Therefore, through the ECG sensor wearable service, users can discover hidden and unknown cardiovascular diseases such as arrhythmias related to sudden death from the measurement process to avoid unnecessary regrets Qiyi Medical Electronics’ business model is mainly B2B2C, hoping to assist individuals, hospitals, enterprises, care services and other units to create a win-win situation Li Weizhong analyzed that the business cooperation model is quite flexible, whether it is leasing or buying out wearable measurement devices, or providing annual report subscriptions to reduce the cost of purchasing devices for users, such as including 2-minute electrocardiogram, Flexible subscription package including 7-day cardiovascular health assessment, exercise cardiovascular health assessment, sleep health assessment report, etc Group cardiovascular monitoring system solution creates a many-to-many real-time physiological information monitoring platform to replace diagnosis with prevention In addition to providing individual users with remote mobile physiological data measurement, the BEATINFO cloud platform provides a "group cardiovascular monitoring system" solution that can create many-to-many real-time physiological information monitoring through network technology Based on the platform, patients only need to wear a lightweight monitoring patch, and the back-end system can grasp the changes in their physiological information, so that prevention can replace diagnosis and reduce the chance of sudden cardiovascular death This platform provides 3 functions, including the ability to manage different users into groups and hierarchically, and the number of users can reach tens of thousands it can display users’ basic physiological information in real time on web tools, and can be used under certain preset conditions When triggered, this platform will immediately send out an alarm historical data can also be reviewed on the platform, which is very suitable for doctors to check the patient's disease progression outside the hospital during consultation For the application of the "Group Cardiovascular Monitoring System" solution, taking high-intensity exercise as an example, such as long-distance running and cycling, mountain climbing activities or traveling abroad, a prior cardiovascular health assessment is required activities, and corresponding evaluation reports This report allows users to share it with doctors, so that participants can make assessments before the event or test their training effectiveness, which can significantly reduce the risk of accidents during the event beforehand During the activity, the group cardiovascular monitoring system also provides real-time on-site monitoring of a large number of participants It can be monitored in real time by the AI in the background at the moment of exercise Once an accident occurs, the platform can immediately issue an alarm and even report the accident GPS positioning of the location, and continuously transmits back the user's physiological information during search and rescue, striving for golden rescue time In sports monitoring applications, taking golf as an example, how to improve golfers' puttinghitting performance A player's performance and concentration are usually directly related to personal emotional stability Li Weizhong said that through HRV analysis of Qiyi Medical's electrocardiogram device, it can help determine the player's emotional and stress index performance, and at the same time help golf coaches select and train players The group cardiovascular monitoring system can create a many-to-many real-time physiological information monitoring platform Establish a firm foothold in Taiwan, move towards the US and European markets, and move towards the goal of a data company Faced with the challenges of technology research and development and market promotion, Qiyi Medical Electronics’ automatic identification of electrocardiograms requires a large amount of data for AI calculation development For this reason, Qiyi Medical Electronics must cooperate with hospitals and develop jointly Finish At present, the company has established good cooperative relations with many medical centers and research units, and has overcome these technical bottlenecks one by one In terms of market promotion, Li Weizhong said that the biggest challenge facing Qiyi Medical Electronics is to communicate with the market and let the public understand the differences between competitors' bracelet and watch products and the company's mobile device-electrocardiogram sensor Compared with the common bracelet and watch products on the market that collect electrocardiogram data in a discontinuous manner, it may take a long time to collect discontinuous data before potential cardiovascular problems can be discovered by luck Qiyi Medical Electronics actively promotes electrocardiogram to the public in a continuous manner The competitive functional characteristics of sexual detection data and emphasize that it is a very important means to assist in the detection of many potential diseases, replacing diagnosis with prevention and reducing the occurrence of unnecessary cardiovascular diseases In addition, in terms of business promotion, we also hope to create more opportunities for business matching and new venture capital raising with the assistance of the Corporate Resource Strategy Council Looking to the future, Li Wei and Xu Qiyi Medical Electric Energy will become the last piece of the telemedicine puzzle in the health wearable device-electrocardiogram service Li Weizhong said that in the short term, Qiyi Medical hopes to gain a firm foothold in Taiwan and become a common medical device in everyone's home, just like thermometers and blood pressure monitors The company is also constantly developing new indications Starting from electrocardiogram, coupled with AI and big data, it can deal with more chronic diseases In addition to cardiovascular diseases, we have also successively developed sleep apnea and other more special diseases The applications are aimed at the problems of elderly chronic diseases that modern people are very likely to encounter With a mid- to long-term plan, Qiyi Medical will enter the US and EU markets, become an international company, and continue to aim to become a data company, making good use of the company's long-term collection of data applications to provide services in diverse fields such as new drug development and vaccine development application to create business opportunities and profits 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】7毫秒內分離人聲 洞見未來科技協助聽損者「聽說更簡單」
Voice Separation in 7 Milliseconds: RelaJet's Future Technology Makes 'Hearing and Speaking Easier' for the Hearing Impaired

One rainy Thursday afternoon near Taipei Arena, the Taipei Experience Center of RelaJet was fully booked with appointments from people with hearing loss eager to try hearing aids made with a voice separation engine For the hearing impaired, having affordable, lightweight, and effective noise-reducing hearing aids is truly a blessing 'We hope to help users in need to hear the world's wonders again' This empathetic expectation by RelaJet's founder and CEO Po-Ju Chen, who is also hearing impaired, illustrates his understanding of the needs of the hearing impaired He hopes that RelaJet's unique voice amplification hearing aid technology will benefit many more people Affordable hearing aids benefit many with hearing loss Founded in 2018 by Po-Ju Chen and his brother Yu-Ren Chen, RelaJet developed a multi-voice separation engine paired with Qualcomm's Bluetooth audio platform, drastically reducing the price of imported hearing aids, typically costing 80,000-100,000 NT dollars, to just under 10,000 NT dollars They aim to develop affordable goods with excellent noise-cancelling capabilities that wirelessly connect to smartphones In its first two years, the company primarily developed the multi-voice separation engine, which significantly improved the noise reduction quality Once equipped with Qualcomm Bluetooth earphone chips, the audio processing time is drastically short, at about 7 milliseconds to enhance main voice projection and reduce ambient noise, less than half the time required by traditional medical standard of 16 milliseconds for hearing aids, nearly 'zero-delay' 洞見未來科技推出平價助輔聽器,大大嘉惠聽損者 Yu-Ren Chen explains that the primary use of Qualcomm chips for edge computing, along with a streamlined algorithm, achieves extremely low latency and better noise reduction The hearing aids can cover 18 channels, whereas traditional hearing aids cover 4-48 channels In the future, RelaJet will progressively increase the number of channels According to statistics, there are 470 million people globally with hearing disabilities, with a 30 average device use rate in developed countries, with the highest in Western countries Taiwan has nearly 15 million people with disabling hearing loss, of which the middle-aged and elderly make up 30, yet the device use rate is only about 10, which is quite low Yu-Ren Chen further analyzes that the low device usage rate is due to two reasons firstly, the high average selling price of international big brands ranges from 80,000 to 200,000 NT dollars with a three-year usability period, which deters many due to the high cost and maintenance Secondly, in noisy environments, the noise is also amplified which does not necessarily ensure clarity for the users, and the sound parameters can't be adjusted in real-time, making it inconvenient to frequently visit stores for tuning Thirdly, most models cannot connect to smartphones, making it inconvenient for the hearing impaired to take phone calls Utilizing Qualcomm Bluetooth chips for rapid product development In light of this, Po-Ju Chen, formerly a semiconductor engineer at MediaTek, leads the technical development, while Yu-Ren Chen, with a legal background, manages the operations Their seamless collaboration, along with their team employing AI algorithms and chip integration, learns from thousands of hours of audio files in databases through neural networks and deep learning technologies to develop low-latency, high-noise-reduction voice amplification technologies for hearing aids In 2019, this sound processing technology was integrated into Qualcomm Bluetooth chips, winning first place in the Qualcomm Taiwan Startup Competition and becoming a partner in Qualcomm's Global Expansion Program, significantly boosting product development pace In 2021, they launched their own Otoadd series of hearingenhancement products in Taiwan, which received both market favor and positive reviews from many with hearing loss Based on different consumer needs, various product designs are available According to Yu-Ren Chen, the Otoadd wireless earphones with hearing enhancement functions, model N1, are entry-level neckband style priced at 9,500 NT per pair Users can wear the hearing aid while taking calls, and control noise reduction strength and volume through a mobile app They plan to develop accessories in the future tailored to the needs of older adults Besides being available for trials at experience centers in Taipei and Kaohsiung, this hearing aid is also sold through PChome, Taiwan Mobile's myfone, and Elder Age networks, among other channels Another model intended for individuals with mild to severe hearing loss is the Classic R hearing aid, which received the Japanese Good Design Award in 2021 Since its market debut last year, it has attracted those with congenital hearing loss, with users noting improved clarity in noisy environments and appreciating the convenience of Bluetooth connectivity for calls and watching videos This product is anticipated to be exported to international markets in the latter half of this year Additionally, a hearing aid product combining Bluetooth functionality, set to launch in June this year, is sized like typical Bluetooth earphones, targeting visually conscious consumers with hearing loss Its small size and attractive wireless earphone design allow for phone calls, and if approved by the Ministry of Health and Welfare, eligible users can apply for government subsidies RelaJet to expand into overseas markets, using the USA as a beachhead An interesting question arises due to the pandemic everyone must wear masks which impedes lip-reading How does this affect those with hearing loss Yu-Ren Chen indicates that this situation highlights RelaJet's advantages As each person with hearing loss has different levels of hearing ability, hearing aids can only augment to an appropriate volume, assisting users to hear about 60-70 content, with the remainder relying on lip reading and gestures During the pandemic, as everyone wears masks, masks also muffle sounds, but RelaJet's voice separation engine can correct and strengthen the separation, making it easier for those with hearing loss to recognize voices Besides the Taiwan market, RelaJet's next stage will be expanding into overseas markets, expecting to obtain ISO 13485 medical device quality management system certification and US medical device approval in 2022 They plan to enter the US market, either under their own brand or through OEM arrangements Apart from the Taiwan market, RelaJet will also enter the US market in the next phase for hearing aids「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」