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【2020 Solutions】 Driving AI with Chips, Fansi Data Multiplies Computing Power at Low Cost

A tiny chip capable of driving AI algorithm speeds by nearly a hundredfold, Fansi Data's team is dedicated to software and hardware integration, providing industries including finance, smart healthcare, and smart manufacturing with a cost-effective, high-efficiency way of introducing AI and rapidly undergoing digital transformation.

In recent years, artificial intelligence has been highly prominent; however, practical applications have been limited by high costs. The enhancement of 'computing power' is crucial for breaking through the bottlenecks in AI applications. Fansi Data's customized chip design and solutions can increase processing performance and effectively reduce costs, making AI applications in finance, healthcare, and manufacturing easy and feasible.

The company's core service is the high-performance hardware acceleration platform (FPGA)

Fansi Data was founded in October 2018 by a founding team from National Tsing Hua University, National Chiao Tung University, and National Taipei University. The company currently has 11 employees, including the chip design director Liu Wenkai from the IC design company Huirong Technology, who leads a 5-person IC design team. They spent over a year developing the high-performance hardware acceleration platform (FPGA), which became the company's core service.

Fansi Data integrates software and hardware to develop a high-performance hardware acceleration platform (FPGA)

▲Fansi Data integrates software and hardware to develop a high-performance hardware acceleration platform (FPGA)

'To bring AI to practical implementation, the challenges are cost and real processing situations. Purchasing a standard set of NIDIA GPUs is expensive. If we can adjust the hardware through customization, producing a setup tailored for use, the costs can be significantly reduced.' Said Liao Yanchin, General Manager of Fansi Data, who additionally pointed out that most AI startups currently only have software engineers and lack hardware engineers. Fansi Data excels in data handling and software/hardware integration, has an excellent team, and can efficiently solve data issues while developing software/hardware solutions tailored to customer needs.

Financial markets are notoriously fickle, as evidenced by the recent COVID-19 pandemic, which triggered a global stock market crash and was reinforced by program trading, leading to the unprecedented implementation of four trading halts in U.S. stock exchanges within a decade. This has significantly raised investors' risk awareness.

Zheng Zongyi, co-founder of Fansi Data, experienced in financial trading, points out that in financial markets such as stocks, futures, and warrants, 'speed' is often the key to victory. Typically, the traditional stock trading process involves financial trading data flowing from the network to the mainframe, processed through combination software, measured in milliseconds (ms, 10^-3 seconds), with an average transaction completed in 20 ms. System transaction processing speed, however, is at the nanosecond level (ns, 10^-9 seconds), and through the high-performance hardware acceleration platform (FPGA), each financial matching transaction can be completed in microseconds, a significant difference that can lead to billions in trading gains or losses, and is a major competitive edge for proprietary traders.

Financial services in the domain of securities firms' proprietary sections, new types of financial product trading departments, and high-frequency traders (or major retail traders). In the securities market, market volatility is the result of a tremendous amount of data. If the system operates at nanosecond speed, allowing you to see transaction information instantaneously, ahead by 0.1 seconds, you can make trading decisions before others even see the market data.

Service areas focus on financial technology and smart manufacturing

The risk control systems of bank credit cards can also utilize AI integration acceleration, similar to regulatory technology domains. Establishing an AI model can effectively identify risky credit card transactions and provide responses in a very short time, enhancing the security and smoothness of online transactions.

In the AI credit card risk control system, AI acceleration is also used through software integration. Transactions are prevalent, and fraud is common, similar to regulatory technology domains. By establishing an AI model, risky credit card transactions can be effectively identified, and responses given in a very short time, enhancing the security and smoothness of online transactions. This includes financial transactions and credit card risk identification, all through chip-based transaction data analysis and risk management system direct acceleration calculations.

Financial transaction information acceleration solution

▲Financial transaction information acceleration solution

Currently, many financial companies have their own IT departments, including data scientists, big data analysts, and AI algorithm engineers. What is Fansi Data's advantage in the financial sector? Zheng Zongyi points out that the IT departments in the financial industry are more 'users' of IT, not 'developers' of IT. Moreover, understanding IC design involves high costs, and the financial industry does not need to maintain their IC design team. The specialization is very clear, as Fansi simply develops models for the financial industry to adopt.

Considering personal privacy and data security, financial data is sensitive and often not easily accessible. Fansi Data, by joining the financial technology innovation park (FinTechSpace) and with the assistance of the Institute for Information Industry, applies for the real-time transaction data and corporate annual financial statements, historical trading data provided by the digital sandbox, using it to group data, analyze, model, backtest, and propose AI risk warnings and other solutions for abnormal transactions and risk management.

Besides financial technology, Fansi Data also focuses on AI applications in smart manufacturing, such as developing smart image meter reading through image recognition methods, which can help businesses reduce equipment replacement costs and achieve higher accuracy.

In the process of customized chip design, data analysis, and software/hardware integration, Fansi Data encounters difficulties in data and talent acquisition. At this stage, through interfacing with the digital sandbox and utilizing resources provided by the financial technology innovation park, AI models are built; regarding talent, a lean core team is established, continuously accumulating experience and building a robust entrepreneurial culture to face the ever-growing market demands.

From left to right: Co-founder Zheng Zongyi, General Manager Liao Yanchin, and Chip Design Director Liu Wenkai

▲From left to right: Co-founder Zheng Zongyi, General Manager Liao Yanchin, and Chip Design Director Liu Wenkai

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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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 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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 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這是一張圖片。 This is a picture.
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Rebirth the music on the hard drive. Aifei Matchmaking uses AI to find the best partner for the image.

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