Artificial intelligence, especially deep learning, has experienced rapid development in recent years, largely due to the long-term accumulation of chip technology. If it weren't for the advancement of chip technology that provides sufficient processing power for large-scale machine learning, there would be no AlphaGo that defeated top human players. Over the past decade, chip technology development was mainly focused on applications such as communications, multimedia, and smartphones. With the slowdown in these areas, chip technology has gradually shifted its focus to AI, and the impact of AI on chip development is becoming increasingly significant.
The era of artificial intelligence has arrived. Everyone recognizes the potential and explosive growth of AI. Since 2016, chip companies and internet giants have fully entered the chip field. In the highly competitive global AI research landscape, China's presence is growing stronger, and AI has quickly become one of the hottest areas for Chinese startups. From 2012 to the third quarter of 2017, investors poured over $45 billion into more than 200 AI companies. So, in this unprecedented wave of AI innovation, which Chinese chip companies will stand out and become the next generation of leaders?
Cambrian
Founded in 2016 by Professor Chen Tianshi, Cambrian focuses on developing core processor chips for intelligent cloud servers, smart terminals, and robots. The company pioneered the direction of deep learning processors and developed the world's first dedicated deep learning processor chip, significantly improving computational efficiency in the AI field. Unlike general-purpose processors used by Google, Cambrian's chip targets deep learning technology. Simulation experiments show that "Cambrian" achieves a performance improvement of two orders of magnitude (hundreds of times) compared to traditional x86 instruction set implementations.
In August, Cambrian completed a $1 billion A-round financing and became the first unicorn startup in the global AI chip industry.
Currently, the Cambrian series includes three prototype processor architectures:
Cambrian 1, known as Dian Nao, is a neural network processor architecture;
Cambrian 2, called DaDianNao, is designed for large-scale neural networks;
Cambrian 3, named PuDianNao, supports various machine learning algorithms.
Compared to Google's AI benchmarks, Cambrian aims to make cameras, mobile phones, and even wristwatches with 1 watt of power as "smart" as AlphaGo, hoping for better performance, more powerful computing capabilities, and lower power consumption. The industrialization of Cambrian chips is about to begin, and it is expected to be listed in 2018. Huawei and the Institute of Computing Technology of the Chinese Academy of Sciences maintain a close relationship and established the "China-Academy Computation Institute-Huawei Joint Laboratory." Huawei's Kirin 970 uses Cambrian technology.
On November 6th, Cambrian Technology released three smart processor IP products: Cambrian 1H8 for high-performance visual applications in low-power scenarios, Cambrian 1H16 with high performance and versatility, and terminal AI products Cambrian 1M. At the same time, Cambrian also launched the AI software platform CambriconNeuWare for developers.
China Star Microelectronics
When discussing domestic AI chips, we must mention the introduction of China's first embedded neural network processor (NPU) chip, China Star, in June of this year. This is the world’s first embedded video system with deep learning artificial intelligence and is named "Star Smart One." This deep learning chip is used in face recognition and achieves a high accuracy of 98%, exceeding the human eye's recognition rate. It took three years to develop the Starlight Smart One. China Star Micro Group has gathered R&D teams in Beijing, Guangdong, Tianjin, Shanxi, Jiangsu, Qingdao, and Silicon Valley. It has adopted advanced billion-gate integrated circuit design technologies and ultra-submicron chip manufacturing processes, successfully achieving mass production at TSMC.
The NPU adopts a data-driven parallel computing architecture. The energy consumption of a single NPU (28nm) is only 400mW, greatly improving the ratio of computing power and power consumption. It can be widely used in high-definition video surveillance, smart driving assistance, human-machine interaction, and robot vision fields. Currently, shipments of "Starlight Smart One" are mainly concentrated in the security camera field, including authorization to other security camera manufacturers. In the future, it will mainly promote and apply vehicle cameras, aerial drones, robots, and industrial cameras.
Horizon Robotics
Horizon Robotics, founded by Yu Kai, former director of Baidu's Deep Learning Institute, is committed to creating an AI "brain" platform based on deep neural networks—covering both software and chips that can achieve low-power, localized solutions for environmental perception, human-computer interaction, decision-making control, and more. On the software side, Horizon has developed a set of OS based on neural networks, as well as the "Hugo" platform for autonomous driving and the "Andersen" platform for smart homes, which have started to land. On the hardware side, Horizon Robotics will also design a chip for this platform—NPU (Neural Processing Unit)—to support their own OS, increasing performance by 2-3 orders of magnitude (100-1000 times).
Horizon Robotics has already received undisclosed seed funding from investors, including Sequoia and legendary venture capitalist Yuri Milner. On July 1, 2016, Horizon Robots secured a new round of financing. This investment will be used to increase R&D investment in self-driving and smart homes, accelerate product development and landing speed, and advance research and development of AI chips and systems. They are embarking on a one-stop solution for AI that defines “everything intelligent†to make life easier, more fun, and safer.
Horizon's final product is not just a chip but a core control module with functions of perception, recognition, understanding, and control. This control module will be integrated with partners. In other words, Horizon offers a solution with AI algorithms. In the business model, products, technologies, and services will be adopted at present, and the products will be made first, obtaining the first-hand user experience. In the future, the development will be further expanded to a broader ecosystem. Horizon does not define itself as a pure technology provider. Instead of simply selling algorithm SDKs or chips, it creates a technology platform to help users make products.
On December 20th, Horizon Robot launched two new processors for autonomous driving and embedded smart vision processing and proposed the Hugo 3.0 platform, mainly serving vehicles and upcoming security and commercial markets. Horizon Robot's solution is mainly to solve the algorithm acceleration of CNN, DNN, and RNN in AI calculations and provide the computing power needed for mainstream neural network structures. Its main architecture is BPU (Brain Processing Unit) developed based on its own algorithm.
Bitmain
BITMAIN, established in 2013, specializes in R&D of ultra-high performance computing. The company has successfully developed and mass-produced a variety of ASIC custom chips and integrated systems. The mining machine for Bitcoin mining is one of their important products. According to reports, 80% or even 90% of the world's miners are provided by them. In the past few years, they have also been promoting the use of ASIC chips for mining machines to iterate to meet updated needs. According to official data, the BM1387, the fifth-generation chip developed independently by Bittek, is the world's lowest-power, highest-performance operational acceleration chip, with a mass production scale reaching several billion.
In November, the company released the artificial intelligence brand SOPHON ("to calculate heaven and earth Xuankong, Feng cognitive intelligence"), and brought the world's first tensor acceleration calculation chip BM1680. The entry into AI is an important step for Bitland. From the R&D of digital currency chips and mining machines to the establishment of a mining pool, Bitland has independently developed and improved its industrial chain. Now, it is the best time for Bitland to enter the AI industry. It is committed to providing the most cost-effective, most power-efficient AI computing power through its powerful chip engineering, rapid iteration, and system design and manufacturing capabilities. Customize and optimize full stack hardware and system solutions for the industry, greatly reducing the difficulty of the industry + AI and promoting the popularization of AI.
Shen Jian Technology
Shen Jian Technology was founded by the Tsinghua team. Its products are called Deep Processing Units (DPUs). Its goal is to achieve better performance than GPUs with ASIC-level power consumption. Currently, the first products are based on FPGA platforms.
According to official data, the embedded-side products exceed the Nvidia TK1 while the power consumption and price are only about 1/4 of the latter. The server-side product has a performance close to that of the Nvidia K40 GPU, but its power consumption is only about 35 watts. It costs less than $300, less than 1/10 of the latter.
Shenjian Technology focuses on creating an end-to-end deep learning hardware solution based on DPU. In addition to the DPU chip architecture on the hardware module (customized PCB board), it also creates a DPU compression compilation tool chain for this architecture. SDK.
The application of the product is divided into two types: terminal and cloud. Among them, the embedded-side products will be mainly used in the fields of drones, security monitoring, robotics, and AR. Currently, they have established cooperation with a well-known drone manufacturer. The server-side products will be mainly aimed at voice processing, image processing, etc., of large Internet companies. At present, it has also cooperated with well-known domestic Internet companies. In the case of being compatible with the existing computer room, the power consumption is reduced by 80%, and the accuracy of voice recognition is increased by 5%-7%.
In May of this year, Shenzhen Sapphire Technology Co., Ltd. completed tens of millions of dollars in A round of financing. In October, it ushered in approximately 40 million U.S. dollars in A+ round of financing. It was led by Ant Financial and Samsung Venture Capital, followed by China Merchants and China Resources Capital. Since its establishment in March 2016, Shenzhen Shenjian Technology has obtained three rounds of financing. The investors include Jinshajiang Venture Capital, Gaochun Capital, Ant Financial, Samsung Ventures, Xilinx, MediaTek, and China Capital.
Yu Sai Technology
Cosmo Technology was established in San Jose, Silicon Valley in the United States in 2013 and its headquarters was relocated to Shanghai in 2014. The company's main products are smart driving laser radar, laser natural gas detection system, and so on. The company has assembled leading experts in cutting-edge industries such as optics, precision machinery, electronics, communications, and artificial intelligence. Co-founder & CEO Li Yifan is a global outstanding youth of the World Economic Forum, an expert of the Shanghai 1000-person plan, and a startup entrepreneur of 30 entrepreneurs under the age of 30. Tsinghua University, Department of Precision Instrument undergraduate, University of Illinois, Champaign, Ph.D., research topics for intelligent control of walking robots. He used to be the chief engineer of American Western Digital Group, the strategic investment department of Parker Group, and the robot department of Lam Research.
In May of this year, China Racing won a total of RMB 110 million in Series A financing led by Pagoda Investment, Mencius Capital, Silicon Valley Ventures and Yuanzhan Capital.
LiDAR is a sensor used for laser three-dimensional scanning in the autopilot and robotics industries, and is one of the most important components on the unmanned vehicle. In October 2016, the first display of 32-line laser radars for autopilot was held in Sakai. The performance index reached the international advanced level. In April 2017, after more than a year of development, a large number of internal tests, and common tests of early customers, the race has released a 40-line hybrid solid-state product, the Pandar40. It has an ultra-small size that exceeds the competition, world-class measurement distance and measurement accuracy, and scan line distribution optimized for automatic driving. Created on the market all lidars have a minimum vertical angular resolution of 0.33°—equivalent to a conventional 83-line radar.
In December, CASSUN Technology released the self-developed solid-state laser radar, PandarGT, and announced that it has completed prototype development and is cooperating and developing tests with a number of international OEMs and Tier1. It is expected that in the first quarter of 2018, the competition will formally provide A prototypes to dozens of production partners.
Codelong Technology
Codelong Technology is an artificial intelligence company specializing in deep learning to create a customized computer vision technology platform. The core team of the company's core technology from Microsoft Research Asia, Tsinghua University, Chinese Academy of Sciences, etc., to achieve major technological breakthroughs in the field of deep learning and computer vision, the first to achieve artificial intelligence in the world to identify the accuracy of typical flexible goods beyond manpower, and create ProductAI The artificial intelligence commodity recognition platform provides enterprises with the world's first product identification service, self-service customization search map search engine, and image recognition technology support. At present, ProductAI has successfully exported solutions in image copyright, fashion, textiles, furniture, home textiles, tourism, publishing, medicine, smart filters and other industries, and can provide Chinese, English, Japanese and other multi-language services. In this year's top competition in the field of computer vision recognition in the WebVision International Contest, Codelong Technology from China has won the world championship with absolute advantage.
Product features: First, the world-class R&D team consisting of senior computer scientists from Microsoft Asia Research Institute, technology enthusiasts from Tsinghua University and think tanks from overseas scholars concentrates on research and development, and has dozens of intensive research in visual computing, machine learning, and big data. Achievements and cutting-edge technology patents actively promote international academic exchanges and deep cooperation to achieve breakthrough technological innovation. Invest in large-scale GPU computing capabilities to create AI super-powerful brain, with top-level algorithm model built with tens of millions of data and self-built advanced data tagging system. Second, based on the cloud built scalable intelligent algorithm services, developers and data analysts can directly use artificial intelligence algorithms and interface APIs without having to manage the infrastructure and write code. Third, the ProductAI platform can identify more than 20,000 object classifications, and some of the feature recognition accuracy is 8% higher than that of professionals. Each GPU's work efficiency is equivalent to 200-400 trained professionals. Fourth, platform operation is simple and zero threshold, free trial is not burdened, and after satisfaction with the results, the monthly API usage fee.
In December, Hang Lung Technology won a 220 million yuan round B round of financing from the world-renowned "Wind Ventures" Softbank China (SBCVC). This is the first startup company that Softbank has invested in China's AI field.
Graceful Intelligence
Beijing Weijing Intelligent Technology Co., Ltd. (English name: Vizum) was established in June 2016. It is an artificial intelligence company dedicated to researching intelligent visual perception technology and providing customers with leading planar and stereoscopic intelligent visual hardware and software products and solutions. Including SDK, IP, chips and other products. The main products include the first-generation smart eye ViEyeI, the second-generation smart eye ViEyeII, and the smart stereoscopic imaging SDK, etc. ViEye is a technology based on the "NaturalLearning" stereoscopic vision technology developed specifically for robots and mobile devices. Knowledge, selection, feedback, control and other features in one of the three-dimensional intelligent vision products.
Vizum was founded by the former chief scientist of Spreadtrum Communications, the world’s third-largest mobile phone chip company, and Dr. Dong Yujian, general manager of Beijing Boyahualu Audio Visual Technology Research Institute Co., Ltd. The company’s core teams are all from well-known semiconductor companies at home and abroad, and not only have a profound experience in the field of intelligent image processing. The theoretical basis, but also in the integration of stereo vision, object recognition, deep learning has a profound technical accumulation: the team has a large number of successful development cases in the mobile phone baseband chip, Internet of things, intelligent hardware and other fields, participated in mass production of nearly 20 models The chip, involving communications and multimedia, has accumulated a total sales volume of several hundred million pieces, creating a huge market value.
As an artificial intelligence + chip R&D + intelligent system provider company, Vizum adheres to the intelligent route, insists on the theory and technological innovation as the soul of the company's development, independently researches and develops the "NaturalLearning" stereoscopic intelligent vision technology, and keeps it in the global scope. leading position. The intelligent eye ViEye developed based on this technology is specially designed for robots and mobile devices. Its function is the world's first. Its performance surpasses the international mainstream binocular vision manufacturers in stereo perception and quantitative perception, and has been successfully applied to three-dimensional human faces. Recognition, three-dimensional gesture recognition, robot vision and other products.
On May 22, 2017, Vizum completed a round of 50 million yuan round A financing from the industry leader. This was Vizum's investment in tens of millions of angels from Hengkun Ruijin and Huijin Ventures after six months of the end of 2016. The second financing was completed in the time. Today, the core members of the Vizum team are all well-known semiconductor companies from home and abroad. There are a large number of successful developments in the areas of mobile handset baseband chips, Internet of Things, and intelligent hardware. A total of nearly 20 models are involved in mass production of chips, involving communications and multimedia, and cumulative total sales. Several hundred million tablets.
In August, Beijing Weijing Intelligent Technology Co., Ltd. announced that it has formally signed a cooperation agreement with Xianyang High-tech Zone to establish a robotic intelligent eye application research center and production base in Xianyang High-tech Zone. On December 8, Shaanxi Weijing Robotics Technology Co., Ltd. invested by Beijing Weijing Intelligent Technology Co., Ltd. was opened in Xianyang. The project is expected to have an overall investment scale of 200 million yuan. Xianyang City and Xianyang Hi-tech Zone have given Weijing Robots great support and investment in base construction and investment.
Yue enjoy trend technology
Yuexiang Trend Technology was founded in 2014 and is a high-tech company focusing on medical electronic sensors and artificial intelligence application of physiological big data. Around the company's non-contact arterial radar BioRF patented technology, it integrates a variety of modules/chips for physiological signal acquisition, and combines brain-based biomedical models for intelligent analysis of physiological signals. The company's products include a sleeveless blood pressure change tracking wristwatch, an abnormal heartbeat alert wearable, a systemic arterial vascular sclerosis tester and many other personalized precision medical products.
Yue Yu Trend Micro founder and CEO Zhu Yudong had worked for many years as a director of product management for Qualcomm Semiconductor in the US, as well as Director of Global Markets for Aspire Semiconductor, and Senior Technical Market Manager for Broadcom Semiconductor in China. He holds a master's degree from the Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, and a bachelor's degree in electrical engineering from Tsinghua University.
On August 28th, Trend Micro Technology announced that it had completed a tens of millions of Pre-A rounds of financing at the beginning of the year. This round of financing was led by VC, Beijing Challenge and Chenhai Capital. In 2015, Yue enjoyment also won Chenhai Capital's million angel round investment.
UnlimitederHear
Yuan Ding International is a professional developer of Taiwanese technology aids. Founded in 1997, Yuanding International has more than 100 patents on speech and hearing, specifically assisting people with disabilities. In 2008, he began to study hearing loss and how to improve hearing. He also developed MFA sound pressure detection and shift frequency technology. Through different service platforms, MFA ecological environment can be built to improve listening ability. Yuanding Audio was established in 2015 and is poised to target the audio market for consumer electronics products. Its business model is an authorized provider of IP technology and provides hearing algorithm solutions.
The core of Yuanding audio technology is the Millisecond Frequency Adjustment (MFA) algorithm. It mainly uses the frequency compression and frequency shift algorithm technology to move the weak and high-frequency consonants that the hearing impaired cannot hear in 1.5 milliseconds. In the low-frequency range, restore the true nature of the sound. Yuanding's hearing algorithm is mainly used in two major industries, one is the Bluetooth assist/auxiliary hearing industry and the other is the Bluetooth headset industry. At present, Yuanding has applied for more than 128 audio patents throughout the world (including China, the United States, Europe and other countries, has obtained 49 patents, the United States 8), in the patent licensing, there are several IC factory and Yuan Ding negotiate IP Authorization.
Hearable’s overall market, including hearing aids, hearing aids, headphones, and Earbuds, will become the fastest growing wearable market, setting a market of more than $16 billion in 2020. Yuan Ding will be "clear" with patented technology EarClarity, "EarEQ" is "perfect", "EarSafe" will be "safe", and "Early" will be used by EarCommand for CSR and Microchip's Bluetooth platform. Future work on mobile devices can be applied. Intelligent voice control.
Yuanding Audio was founded by several retired technology and technology people. Yang Guoping, Chairman of Yuan Ding Audio, who served in the US technology education sector, returned to Taiwan in 1997 and established Yuanding International Development and Technology Supporting Cultural and Educational Foundation. He has been focusing on the design of electronic assistive devices for more than ten years and assisted people with disabilities. Communicating with others through technology aids, accumulated hundreds of hearing and acoustic related patents. Vice Chairman Yang Xiaoming once served as General Manager of IBM Greater China PC Company. He used to serve Nuvoton Technology in the past and served as General Manager of Shanghai Huabang Electronics. General Manager Jin Xing, who has more than 30 years experience in the semiconductor industry, is responsible for business promotion. After retirement, you need to support the age of the sun? Many retired people who know how to manage themselves have begun to invest in another adventure in the second half of the game. The Yuanding audio team is an excellent example.
Baidu
Baidu United Spreadtrum and other hardware vendors have introduced DuerOS smart chips that can be seen as a new exploration of Baidu's integration of artificial intelligence and hardware devices. DuerOS smart chips have low-cost chips and modules that can be embedded in any hardware with chip embedding and can be applied more quickly and widely to more scenarios. It can be seen that Baidu is using the combination of "algorithm + chip" to realize the industrialization of artificial intelligence.
In March of this year, Baidu announced a strategic cooperation with Ziguang Zengrui, ARM, and Shanghai Hanfeng to build a three-tier structure that includes secret brain, voice solutions, and chips/modules. The first two layers are Baidu. The degree of secret provided, to give the chip DuerOS "can dialogue" core functional module module blocks by Ziguang Zhuangrui, ARM, Hanfeng common support. The main body of the chip is Ziguang Sharpui RDA5981. This chip is a low-power WiFi+MCU for the Internet of Things application. It is based on the ARM architecture, supports WiFi, and supports hardware encryption acceleration. This chip does not support the acceleration of artificial intelligence, but it can help connect intelligent hardware (such as smart speakers, smart) to the network and perform artificial intelligence operations and interactions in the cloud.
In addition, Baidu released the XPU at the Hot Chips Conference in California a few days ago. This is a 256-core, FPGA-based cloud acceleration chip. The partner is Celeron. The goal of XPU is to balance performance and efficiency and handle diverse computing tasks.
In addition to Baidu, Tencent and Ali have also joined the war. FPGA cloud solutions have recently been introduced. Huawei is also doing research on the architecture and methods of cloud computing.
Yun Zhisheng
Yun Zhisheng is the most professional voice interaction provider. The company was established in 2012. Headquartered in Beijing, it has branches and offices in Shanghai and Shenzhen. Currently, CloudSound has launched a series of voice recognition service middleware and voice recognition service cloud platforms, which are widely used in mobile Internet, smart home, wearable devices, car navigation, medical, education, call center and other fields for enterprises and users. Provide professional speech recognition services.
Yun Zhisheng highly integrated AI customizable chip UniOne, built-in DNN processing unit, compatible with multiple microphones, multiple operating systems. On August 17, Yun Zhisheng officially announced that it had secured a strategic investment of 300 million yuan. The follow-up will continue to exert its force in three areas: First, to strengthen the R&D investment in key technologies for the entire industrial chain of the Internet of Things artificial intelligence services; We will increase the research and development of the artificial intelligence chip UniOne, further improve the product development and commercial development centered on the "cloud core". Third, we will further increase the investment in the ecological construction of the industrial chain in the areas of smart living and smart services.
Yun Zhisheng's plan is to provide the open speech cloud platform service from the early stage to the subsequent focus on the Internet of Things, and try to transfer the technical capability from the cloud to the terminal. Through the AI core, AIUI, and AIService, the company plans to build a cloud core product strategy. Focus on the layout of home, vehicle, and medical fields to form a complete ecological closed-loop.
Deep thinking
Deep Thinking Artificial Intelligence, founded in August 2015, is a technology company focused on artificial intelligence core algorithms (machine learning, Chinese Natural Language Processing NLP, deep learning, machine vision) and hardware chip design. At present, the main products are the ideepwise AirobotService underlying service system, the IDeepwise artificial intelligence "medical brain" based on the underlying service system, and the second generation artificial intelligence robot system and the FPGA AI acceleration chip. In November 2015, Deep Thinking had won 1.6 million investment in Angel Investment, and in February 2016, she obtained nine million positive preA rounds of financing.
The company's core team is composed of senior scientists from the Chinese Academy of Sciences Institute of Automation, Software Institute, Institute of Computing Technology, Semiconductor Institute, and other senior scientists in the direction of artificial intelligence and machine learning. Currently, it has 28 national invention patents and 1 utility model patent. With 13 software copyrights, the company established the “Deep Learning Artificial Intelligence Research Institute†jointly with the Institute of Software of the Chinese Academy of Sciences, the Institute of Computing Technology of the Chinese Academy of Sciences, and the Institute of Automation of the Chinese Academy of Sciences, and comprehensively promoted the integration of production, study, and research of the Chinese Academy of Sciences.
As a facilitator of deep learning hardware technology, deep thinking will deepen the optimization of algorithm-level and chip-level deep learning technologies and provide unique deep learning chip solutions. Currently available:
FPGA+ARM Deep Learning Integration Platform
Deep thinking has created the "FPGA+ARM deep learning integration platform," which makes full use of the advantages of FPGA high-bandwidth reconfigurable and ARM processor applications. On this platform, efficient acceleration of CNN, DNN, and RNN algorithms can be achieved, improving the response speed of artificial intelligence devices and greatly improving the experience.
Deep Learning Computing ASIC Solution
Deep thinking can provide design and integration solutions for deep learning ASICs (semi-custom integrated circuits) for enterprise customers, providing customers with unique deep learning chip design support at advanced process nodes such as 65nm/45nm/40nm/28nm to enhance the artificial intelligence experience. To peak computing performance.
Deep learning algorithm + high performance chip
Deep Thinking The deep learning chip research and development team is breaking the limitations and constraints of traditional intelligence. In this artificial intelligence competition, the deep integration of intelligent learning at the algorithm and chip level is realized.
In December, Deep Thought released the iDeepWise, a third-generation artificial intelligence interactive robot.
Westwell Technology (westwell)
Xijing Technology was founded in January 2016 to focus on the research and commercial application development of the brain-based artificial intelligence chip + algorithm. It is based on neuromorphology engineering. The deep learning brain deep neurons (deepwells) and neuron-like neurons that can simulate 50 million neurons have been introduced.
Xijing Technology has built a software and hardware platform for SNN pulse neural network and deep learning, WestweBrai. The first deep learning processor, the Deewe, is reported to consume only a few tens to one-hundredth of the power of a traditional chip.
Xijing Technology CEO Tan Limin once said that WestweBrai has surpassed Google’s human brain simulator in terms of the magnitude of analog neurons. Google's human brain simulator uses a CPU connection, while WestweBrai is rid of the von Neumann computer architecture, using a circuit simulation of neurons.
This startup company has established a technical team consisting of post-doctoral, doctoral, and master's degrees graduated from related artificial intelligence programs at Imperial College of Technology, Oxford University, Marseille Central Polytechnic, and University of California, Berkeley, in a short period of time.
In June, Sakai Technology obtained A-round financing, which was invested by Fosun Tonghao. This round of financing will be used for technology research and development. In June 2015 and January 2016, Saijing Science and Technology won angel wheel and pre-A round of financing respectively. Investors include Heli Investment, Yuan Zheng Investment, PreAngel and others.
According to statistics from the Tencent Research Institute, China has 14 companies in terms of the number of companies in the AI industry base (mainly processors/chips). The AI era promotes chip R&D. Each giant is consolidating its position in areas where it is good at it. CPUs, GPUs, field-programmable gate array chips, etc. are flourishing, and the semiconductor industry welcomes new ones under the huge engine of artificial intelligence. As a result, the semiconductor industry, as the most basic and important part, will promote the rapid development of artificial intelligence and complement each other's fate community.
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