:::

【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」

Recommend Cases

【解決方案】瑕疵辨識率達百分百 耐銳利科技獲面板大廠青睞
Defect identification rate reaches 100%, Nairi Technology is favored by major panel manufacturers

On the machine tool production line, there are some slight differences in the first step of assembly Accumulated tolerances will cause the assembly work to be repeated, which is time-consuming and labor-intensive, resulting in shipment delays that will impact the company's reputation Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutions It uses machine learning models to inherit the experience of old masters In the CNC processing machine assembly and casting process, it uses AI to analyze production line data, accurately adjust various data, and improve Production accuracy is 25 This AI production line data analysis system is called "Master 40" by Huang Changding, chairman of Naruili Technology It is the most evolved version of the master plus artificial intelligence It has been used in machine tool processing factories with remarkable results In addition, Nairi Technology used AI defect detection technology to participate in the 2021 AI Rookie Selection Competition of the Industrial Bureau of the Ministry of Economic Affairs, assisting AUO in advanced panel image defect detection, with an accuracy rate of 100, and won the award Assisted panel manufacturer AUO to solve problems with 100 accuracy in defect detectionHuang Changding further explained that during the production of general panels, edges and corners are There may be defects in the corners Although the defects are visible to the naked eye, AOI is often difficult to identify, causing the detection error rate to often exceed 30 Therefore, re-inspection must be carried out with manpower to improve the accuracy rate However, in response to the demand for a small number of diverse products and insufficient manpower, using AI detection is indeed a good method Nairui Technology, founded in 2018, has been able to win the favor of major panel manufacturers with its AI technology in just three years In fact, it has been honed in the field of CNC machine tools for a long time Tang Guowei, general manager of Narili Technology, pointed out that the top three CNC machine tool factories in Taiwan hope to introduce AI into the two production lines of assembly and casting Among them, on the assembly line, in order to maintain the accuracy of assembly, every part of the component is designed Tolerances are designed During assembly, each component is within the tolerance However, the cumulative tolerance still fails the final quality inspection and must be dismantled and reassembled This is not only time-consuming and labor-intensive, but also causes waste "After entering the production line, I realized that some masters have accumulated a lot of experience and are good at adjustment After his adjustment, the accuracy rate has improved a lot and the speed is faster" On the contrary, the new engineers did not Based on experience, it takes a long time to adjust and may not pass the quality inspection The yield rate of Master 40 system has increased significantly from 70 to 95Tang Guowei then said that the original size data set by Master during assembly All were recorded on paper After the information was written, it was stored in the warehouse and sealed No one studied the relationship between the dimensions Narili assists customers in designing the Fu 40 system Through the human-machine panel, the master can directly input the measured dimensions and related data during assembly After collecting data from different masters, AI algorithms are used to analyze the relationship between the data and create an AI model The AI model automatically notifies the operator what size to adjust to, and the quality inspection will definitely pass In this way, the yield rate will be improved It has increased significantly from 70 to more than 95 Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutionsTang Guowei added, assembling the spindle of a CNC processing machine It took four hours In the first step, the machine made measurement errors, including vibration, temperature, speed, etc that were out of range It had to be dismantled and reinstalled, which took another four hours How to adjust after disassembly depends on the experience of the master At first, the master may have done the best assembly method based on experience, but the error rate was also 30, and the assembly took several days With the assistance of AI masters, the assembly time only takes half a day, and the yield rate reaches over 95, saving a lot of time and manpower "Use the AI model of machine learning to collect the experience of all the masters and provide it for AI learning The first step is digitalization, and the second step is knowledgeization This is the transformation of the enterprise "An important key", Huang Changding believes that Narili Technology is an important partner in the transformation of traditional manufacturing from automated production to digital transformation In addition, another industry that Naili Technology focuses on is the smart car dispatching system of the leading brand of elevator manufacturers The so-called car dispatch referring to the elevator car means that if there are more than two elevators, group management is required In the past, car dispatching was based on fixed rules If the elevator was closer to the requested car, that elevator would be automatically dispatched On the one hand, it did not take into account that dispatching a car if the elevator was called too many times might make other people wait longer The previous vehicle dispatching model did not take into account the usage characteristics of the building, resulting in a lot of waste For example, in an office building, there are peak hours in the morning, lunch break, and afternoon after work AI smart car dispatch can be flexibly adjusted according to off-peak and peak hours, increasing the efficiency of car dispatch, reducing waiting time, and reducing wasted electricity Introducing elevator smart dispatch to improve transportation efficiency and have environmental protection functionsHuang Changding added that just like the previous traffic lights at intersections, the system has already The number of seconds to stop and pass on highways, sub-trunks and small streets is programmed Smart traffic lights are now used to flexibly adjust waiting times to make road sections prone to congestion smoother Using AI to learn usage scenarios and introducing a smart dispatch system into elevators will improve transportation efficiency and make it more environmentally friendly In addition to introducing smart elevator dispatching, Nairili also introduced AI into the smart production and shipment scheduling system of elevator factories Elevator factories often cannot accurately estimate the customer's elevator delivery date For example, office buildings or stores must be completed to a certain extent before the elevator can be installed on the construction site If affected by unexpected factors such as delays in the customer's construction period, the elevator factory will often be idle or the schedule will be difficult to arrange Tang Guowei pointed out that generally those who understand the progress of client projects may be from business or engineering, but overall, the accuracy rate of shipments is only about 60, which means that 40 of them will not be shipped as scheduled Therefore, if the shipping schedule can be accurately estimated, the production line can be freed up for emergency orders or other product production needs The AI smart scheduling system will analyze past shipment data, about 20-30 parameters such as climate, distance between the factory and the construction site, and customer credit, and put them into the AI algorithm to accurately predict whether shipments can be made as scheduled goods Huang Changding also specifically stated that the machine learning of Naili Technology is not ordinary machine learning, but also incorporates various calculation methods such as traditional image processing technology and statistics Only by being very familiar with the domain knowledge can we make good products AI models are also where the company’s competitiveness lies He emphasized that the data that general SaaS platforms can process is very limited, and the accuracy rate has increased from 70 to 75 at most Naili’s strength lies in AI algorithms and machine learning, and it must be coupled with in-depth industry knowledge to produce output Good AI model Narili Technology started with the AI project, gradually deepened the technology, chose to start with the more difficult tasks, and accumulated rules of thumb It is expected to develop SaaS services this year 2022, based on customer needs starting point, gradually gaining a foothold and becoming an important partner in smart manufacturing The picture left shows the general manager of Naruili Technology Tang Guowei and Chairman Huang Changding right「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
Make Meeting Records Efficient and Time-Saving with DeepWave's Smart Meeting Ink AI

Meeting Ink Enterprise Edition is now being launched Studies show that around 50 of content is forgotten within two hours after a meeting if not tracked and reviewed immediately multiple reports and transmissions can result in losing over one-third of key information Precise meeting records are crucial for organizations with strict operational protocols and public sectors However, with extensive meeting demands, recording can lead to losses in meeting outcomes and increase team burdens Spotting this market pain point, Taiwanese AI startup DeepWave has introduced 'Meeting Ink'—a new solution for meeting records that integrates voice, text, and automated AI technologies Meeting Ink supports voice-to-text transcription, speaker recognition, verbatim translation, and automated meeting summary highlights, offering flexible services for consumers and enterprises This year, it has added real-time verbatim scripting and translation, creating a new paradigm in meeting management AI Technology Solves Meeting Recording Pain Points in One Go Since its launch at the end of 2023, 'Meeting Ink' has become a high-efficiency and accurate meeting record management solution on the market DeepWave combines its proprietary technology, third-party tools, and Microsoft Azure's voice recognition technology to create the best voice-to-text experience Furthermore, this includes speaker recognition and segmenting, multiple language translation, and meeting summary functionalities across various scenarios To achieve broader applications, Meeting Ink also provides real-time application solutions, making it suitable not just for regular meetings but also for events, forums, and educational sessions Currently, Meeting Ink supports both app and web platforms, offering enterprise customization options to expand its applications further Excellent Voice Recognition Technology and Optimal User Experience Meeting Ink stands out in the market due to its precise voice recognition technology and user-centered application design Relying on DeepWave's proprietary technology, Meeting Ink can convert audio signals into text representing each speaker, distinguishing each participant's voice to ensure information is clearly differentiated Additionally, meeting content can be further summarized according to the speaker and, with DeepWave's optimized system, generate exclusive summary templates for various scenes and roles Whether for executive meetings, academic forums, personal interviews, or learning sessions, Meeting Ink produces tailored summaries for different contexts, bringing higher efficiency and flexibility to meeting recording experiences Precisely Targeting Enterprise Needs, Providing Comprehensive Enterprise Applications Anticipating the shifting market demands, DeepWave has launched a customized service plan tailored for B2B frameworks, further optimizing Meeting Ink's application on the enterprise side Enterprise clients can use the professional edition and enjoy exclusive customized summary modules tailored to specific industry needs DeepWave commits to regularly updating AI modules to ensure the most advanced technological support Additionally, Meeting Ink's enterprise service plan emphasizes data security, account permission management, unlimited storage space, and multi-device compatibility supporting all recording scenarios Offered at the lowest market rates, this provides an economical and efficient solution for enterprises, allowing them to focus on core tasks and enhancing overall meeting efficiency Embracing the Pulse of the AI Era, Leading Market Applications According to a 2023 market report, the global market for AI application tools is expected to grow from nearly 7 billion to 50 billion over the next decade, with business and learning tools playing key roles Facing the rapid progression of AI technology, DeepWave leverages its technical prowess and innovative capacity to penetrate international markets with Meeting Ink, continually bringing revolutionary changes to meeting records for both businesses and individuals Going forward, DeepWave will continuously optimize Meeting Ink, committed to promoting the close integration of AI technology with everyday work and learning scenarios, creating more convenient and efficient working environments for users 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-11-15」

【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

With "Voice as a Service VaaS", VM-Fi Inc launched the world's leading 5G real-time AI voice translation service "VM-Fi," providing AI real-time translation subtitles TranSpeech and AI multi-lingual smart counter TransDisplay The service is applied to real-time translation services in diverse fields, such as international exhibitions, tourism industry, and retail stores The translation service can be quickly set up in 15 minutes, which can significantly reduce the customer's interpretation service cost by 50, creating benefits in terms of time and labor costs This killer application is a product launched by VM-Fi, which has been established for three years It can significantly reduce the cost of interpretation by half It successfully entered the Japanese market and is highly popular among consumers TranSpeech real-time subtitles for speeches and TransDisplay smart counter AI service solution For organizers of international forums and exhibitions, paying high interpretation fees has always been a common pain point hard to put into words According to statistics, to hold an all-English forum in Taiwan, including two interpreters, setting up an interpretation booth, on-site radio station, control panel, and audio, the total cost will be at least NT100,000 to meet the on-site interpretation needs Established in September 2020, VM-Fi launched the "VM-Fi 5G real-time AI voice translation service" In just 2 years, and successively won the Mobileheroes of the Ministry of Economic Affairs Industrial Development Bureau, Start-up competition in the Smart City Project, Qualcomm Innovate in Taiwan Challenge QITC, Japan's JR Kyushu Innovative Business Competition Excellence Award, and the CES 2022 Innovation Award It has not only received praises in the market, but also attracted great attention from Taiwanese investors and was adopted by large Japanese trading companies It hopes to help people around the world avoid communication barriers through smart city solutions, and enjoy a convenient life in smart cities 5G real-time AI voice translation does not require expensive interpreters and equipment and reduces the interpretation cost by 50 The VM-Fi team, which has a solid technical foundation in language translation, digital content, and UX development, has learned that only 20 of high-end consumers in the market can afford the high cost of interpretation To meet the remaining 80 of market demand, VM-Fi combines 5G high-speed transmission and AI voice recognition technology help customers reduce labor and costs Its business solutions can be applied in international exhibitions, tourism services, shopping malls, and online and offline business meetings 5G high-speed AI speech translation service process "Unlike traditional interpreters' sentence-by-sentence interpretation, which is a time-consuming and inefficient process that prevents the audience from smoothly listening to a speech," VM-Fi further stated that the real-time AI speech translation service uses AI algorithms to analyze the speakers speech The AI determines the parts of speech and subject of the speaker, and then immediately translates it The lecturer does not need to wait for the interpreter, and only needs to connect the microphone cable to the VM-Fi 5G real-time AI voice translation service to speak freely The audience can immediately read the translated subtitles 5G real-time AI voice translation was used in the Kyoto Smart City Summit amp Expo for two consecutive years in 2022-2023 The "VM-Fi 5G real-time AI voice translation service" currently supports Chinese, English, Japanese, Korean, Spanish, French, and German, providing translation services between these seven languages During the pandemic, when the demand for online activities increased significantly, VM-Fi introduced the world's first real-time subtitle service solution The contents spoken by the foreign speaker is translated in real-time and displayed on the live broadcast screen, allowing the audience to understand contents shared by the speaker in real time The operation method is also very simple Audiences do not need to download the APP All they need to do is open the Youtube or Facebook live broadcast platforms provided by the organizer The real-time subtitle solution not only saves customers the trouble of translation work, but also allows online listeners to enjoy seamless real-time translation services without any worries Real-time subtitles provide audiences with seamless real-time translation service In addition, the smart counter solution TransDisplay launched by VM-Fi in Japan is also very popular among consumers VM-Fi stated that Japan has a large elderly population and a large number of tourists Especially during the pandemic, most consumers wore masks and there was often a gap in communication The smart counter directly converts the communication between two parties from voice to text and displays on the transparent partition, providing the most considerate service that the public can clearly see at a glance In the future, VM-Fi will work with Taiwanese panel manufacturers, integrating software and hardware to provide voice-to-real-time subtitle translation services in Japanrsquos shopping malls, stations, airports, and government agencies Smart counters provided people with friendly communication services during the pandemic User experience is the key to VM-Fi taking root in the Japanese market Facing the explosive growth of cross-border tourism business opportunities after the pandemic, VM-Fi is confident in business expansion VM-Fi stated that the VM-Fi 5G real-time AI voice translation service has demonstrated excellent product and service resilience during the pandemic, and can flexibly meet customer needs for various physical or online services VM-Fi plans to establish a headquarters in Japan before April 2025, and actively cooperates with Kansai and Kyoto prefectural and municipal governments to expand its operations After establishing a solid foundation in the Japanese market, the EU market will be the next important target VM-Fi participated in fundraising activities of the AI Founders Alliance of the AI Program of the Industrial Development Bureau, Ministry of Economic Affairs The company relied on the assistance of the Institute for Information Technology III, Taiwan-Japan Industrial Collaboration Promotion Office TJPO, and the Japan External Trade Organization JETRO to actively seize Japan's market "Japan's market not only values digital transformation, but also user experience UX" Therefore, after the successful launch in Japan, everything will fall into place when it expands to other markets around the world VM-Fi app in Japan's shopping malls, stations, airports, and government agencies VM-Fi is a startup with passion and innovative spirit nbspfounded in 2020 We focus on AI speech recognition and real-time translation technologies, and are committed to allowing people around the world to enjoy high-speed speech translation during international speeches, at service counters, and during communication, completely removing the language barrier and allowing everyone to enjoy equal rights to information VM-Fi's AI service is not only a technological innovation, but also a commitment to global sustainable development A Digital solutions We are committed to reducing paper use Every sheet of A4 paper saved reduces carbon emissions by 78 grams, using practical digital solutions to promote environmental protection B Renewable energy decisions We choose cloud services that use renewable energy and plan to achieve the goal of using cloud services that use 100 renewable energy by 2025, in order to create a greener technology foundation for the future C Water saving decisions We are committed to using cloud services that achieve positive water benefits before 2030, ensuring that the replenishment of water resources exceeds consumption, and contributing to the future of the Earth D Net zero emission decisions When using new data centers, we will choose net-zero deforestation to protect the natural environment E Sustainable development goals Through the decisions above, we are making active efforts to achieve the United Nations Sustainable Development Goals SDGs 4, 7, 9, 10, 11, and 13, exerting every effort to create a better world VM-Fi's vision is to create a world without communication barriers, allowing everyone to communicate freely and jointly move toward a better future Let us work together to contribute to global communication equality and sustainable development, and create a greener and better future nbsp