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    Home > Medical News > Medical World News > Nearly 20 billion dollars in 4 years! Intel enters the medical market strongly

    Nearly 20 billion dollars in 4 years! Intel enters the medical market strongly

    • Last Update: 2020-06-19
    • Source: Internet
    • Author: User
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    < br / >After the news, Intel's share price did not fluctuate much on that day, but the trading volume of that day reached a new high in the past three monthsBefore long, on August 19, mecamand robot announced that it had obtained Intel's investmentThe start-up enterprise had deployed the intelligent solution of "3D + AI + industrial robot" in the hospital pharmacy< br / > < br / > < br / > < br / > < br / > before thatIn April 2019, Intel investment led the round a financing of two medical start-ups, namely, reveal Biosciences, a computer pathology company, and medical information, which provides remote medical data monitoring and analysis software< br / > < br / >What's more, Huiyi Huiying, a domestic medical AI head enterprise, was invited to attend the 19th Intel Global Investment Summit as a strategic investment partner of Intel and a Chinese medical image AI head enterprise< br / > < br / > < br / > < br / > < br / > it seems that Intel, as an IT giant, is quietly starting to lay out in the medical fieldAs a result, artery network (wechat: vcpeat) has a strong interest in Intel's past medical layout, and has searched Intel's news about the medical field in the past 20 years, combing out Intel's medical panorama< br / > < br / >! As one of the largest chip manufacturers in the world, Intel is the main founder of x86 architectureMost desktop and notebook processors, as well as server chips in the computer room, are based on this architectureSo, less strictly, Intel has long been associated with healthcare - although most of the time it's passive as a device provider< br / > < br / >One of the earliest press releases available on Intel's official website was a press release: "Intel and communihealth announced a plan to help patients and doctors better manage chronic diseases."Communihealth (now nowhere to be verified) was a company that specialized in providing personalized online health information at that time< br / > < br / >Considering that in January 1998, Pentium II processor was just released; at that time, Internet service was still in the era of dial-up Internet through telephone line, and the fastest Internet speed was only 52.6kb/s (today's optical fiber network speed can reach 100MB / s, and 1MB = 1024KB), which was a quite advanced move< br / >In October of that year, Intel, together with the American Medical Association and the American Academy of Pediatrics, jointly held the Internet health dayAndrew s Grove made an opening speech, predicting Internet driven change in healthcareAt that time, both Intel itself and Intel's investment business had been trying to use the Internet as a starting point to get married with healthcareHowever, it is clear that the famous "Internet bubble" handed over to the century has completely changed this direction< br / > < br / > < br / > < br / > since 2003, the gradual maturity of WiFi technology has made Intel try to change medical treatment with technology againEric dishman, then Intel's prospective health research project manager, tried to explore Intel's most promising field in the medical field at the future of Aging Services Conference held that year, emphasizing the added role of home sensor network in medical health< br / > < br / >On January 17, 2005, New York time, Intel announced a drastic restructuring of the company's structure, adding a new digital health group (later renamed health and life science group, i.ethe Department of health and Life Sciences), which is headed by Louis burns, vice president, The main task is to explore the new application of Intel processor in medical research and personal health care< br / > < br / > < br / > < br / > < br / > from this goal of the digital medical department, it can be clearly seen that the original intention of Intel to establish this department is mainly to expand the application range of its own chipsAfter all, this is Intel's core competitiveness< br / > < br / > < br / > < br / > driven by this concept, Intel's digital medical department has successively developed the MCA platform (Mobile Clinical Assistant) in combination with Intel's chip, and the motion C5 medical tablet based on this platform was also a very advanced product at that time - until 2010, apple just released the iPad we know well< br / > < br / >The Intel Health Guide tablet, which integrates a series of medical management software, has passed the FDA 510 (k) certification, and is also the first Intel medical device to pass the FDA certification During this period, Intel also participated in the medical industry through cooperation For example, alliance with GE Healthcare and set up a new healthcare joint venture, care innovations (the company has developed many medical solutions, such as remote patient management and family self diagnosis), funding medical education and medical research projects of young talents, etc All these have greatly enhanced Intel's sense of existence in the medical field < br / > < br / > < br / > < br / > since 2013, with the development of technology, Intel has begun to participate in the medical field in a more extensive way Intel is involved in telemedicine, wearable devices, IOT, cloud computing, big data and AI In 2012, Google built an AI called "Google brain" with 16000 Intel multi-core processors, and identified cats in YouTube videos, which became a landmark event in the development of AI Subsequently, MIT and broad Research Institute of Harvard University improved the speed of gene information analysis and monitoring by 3-5 times using the AVX vector instruction set of Intel processor < br / > < br / > For example, Intel cooperates with Novartis to use AI to accelerate drug development; with Philips to speed up in-depth learning of medical AI; and with Siemens to explore the potential of AI real-time diagnosis MRI < br / > < br / > He joined Intel in 1999 and has been general manager of Intel's health and Life Sciences Department since 2005 He is responsible for the development of cross departmental strategies, products, R & D and policy projects related to Intel's health and life sciences By the time he left Intel, he was an Intel academician and vice president of health and life sciences His department focuses on improving Intel's growth in medical information, genetic information and personalized medicine, consumer health and collaborative medical technology The experience of < br / > < br / > < br / > < br / > Eric dishman is legendary In his teens, he was diagnosed with a rare form of kidney cancer He struggled with the disease for 23 years before the successful kidney transplant in 2012 Before that, almost every two years will be informed by doctors that there is still one or one and a half years left It was not until he had sequenced the DNA of the tumor that he found a treatment to help save his life < br / > < br / > Disease made him better able to understand the role of technology in medical progress Under his leadership, Intel has built up a medical layout step by step from scratch It can be said that without Eric dishman, there would be no Intel medical layout today In April 2016, Eric dishman was nominated as the head of precision medicine Initiative (PMI) of NIH After that, Eric dishman is now mainly responsible for the all of us research project evolved from PMI The project, involving 1 million people, aims to further study precision medicine < br / > < br / > < br / > < br / / > Intel and NVIDIA's medical AI < br / > competition is becoming increasingly fierce When it comes to AI, we can't help mentioning NVIDIA, Intel's inevitable old rival NVIDIA's main product GPU was originally born for 3D graphics rendering In the PC architecture, it is related to Intel's main product CPU, and there is no conflict between them But in AI applications, especially in the medical AI applications where computer vision and voice processing occupy the absolute mainstream, GPU has inherent advantages < br / > < br / > < br / > < br / / > in 2013, NVIDIA cooperated with Stanford University to build the AI neural network with the strongest performance at that time by using GPU By using 16 GPU servers, the AI performance was improved to 6.5 times that of Google brain - the 16000 CPUs used by the latter need as many as 1000 servers to accommodate, so the advantages of GPU in AI can be seen Up to now, most of the medical AI enterprises have adopted NVIDIA's GPU based solution The head enterprises of domestic medical AI, such as conjecture (2017), Shangtang (2017) and Yitu (2018), have all appeared at NVIDIA GTC conference < br / > < br / > < br / > < br / > < br / / > however, GPU is not always dominant in AI applications Due to the limited memory processing capacity of GPU, CPU is superior to GPU in some occasions where it needs large capacity memory (tens of GB or even hundreds of GB) GPU has no advantage over ASIC designed for a specific purpose, such as AI chip with AI algorithm < br / > < br / > < br / > < br / / > for this reason, graphics technology, which was also participating in the NVIDIA GTC conference in 2018, released the quest core in 2019, which was specially designed to optimize the AI algorithm of graphics, greatly improving the computing power of specific AI scenes It is said that the computing power provided by a server based on a quad core chip is equivalent to that of a server with eight built-in P4 GPUs The size of the server is only half of the latter and the power consumption is less than 20%, which fully demonstrates the huge potential of a dedicated ASIC Intel also saw this In August 2015, it acquired nervana system, a company with a high reputation in the field of AI dedicated chips, and in 2016, it acquired movidius, a high-performance visual processing chip manufacturer Later, Intel released its first AI chip, Lake crest, which claims that AI performance is 10 times better than GPU; the latest generation of spring crest (nervana nnp-l) is said to be 3-4 times higher than the first generation of Lake crest in AI computing power At the same time, Intel also uses the ice lake architecture of the desktop core processor to display the internal core
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