{"id":2396,"date":"2020-04-22T03:12:10","date_gmt":"2020-04-22T00:12:10","guid":{"rendered":"http:\/\/kusuaks7\/?p=2001"},"modified":"2023-12-14T17:57:33","modified_gmt":"2023-12-14T17:57:33","slug":"the-race-to-build-the-most-powerful-ai-chip-gets-underway","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/the-race-to-build-the-most-powerful-ai-chip-gets-underway\/","title":{"rendered":"The Race To Build The Most Powerful AI Chip Gets Underway"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2396\" class=\"elementor elementor-2396\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-20884f3c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"20884f3c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-660a50b6\" data-id=\"660a50b6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-229f76b elementor-widget elementor-widget-heading\" data-id=\"229f76b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><h3>A growing number of corporations, startups, and universities are investing time and money in the development of powerful AI chips that are vital for the growth of the tech industry.<\/h3><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-01b00de elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"01b00de\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-578f7d8\" data-id=\"578f7d8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f5b3f16 elementor-widget elementor-widget-text-editor\" data-id=\"f5b3f16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<blockquote>\n<ul>\n \t<li>Investors and entrepreneurs are jumping into the AI-chip space<\/li>\n \t<li>From chips smaller than a fingernail to&#8230; iPad-sized AI chips?<\/li>\n \t<li>New chip processes neural networks millions of times faster than typical computer<\/li>\n \t<li>Tesla AI chip technology to bring about self-driving revolution<\/li>\n \t<li>Chinese and European AI chipmakers enter the race<\/li>\n \t<li>The development race for AI chips is bound to intensify<\/li>\n<\/ul>\n<\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df303dc elementor-widget elementor-widget-text-editor\" data-id=\"df303dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tArtificial intelligence (AI) <a href=\"https:\/\/www.experfy.com\/blog\/futureofwork\/these-3-transformative-technologies-will-have-the-biggest-impact-on-2020\/\">technologies<\/a> have transformed the world in the past decade. From voice recognition and biometrics to stock market trading and social media, smart algorithms are now critical assets in a wide range of industries. But running AI software comes at a cost. Analysing data and finding patterns requires huge processing power, which is why much of today\u2019s AI computations take place in data centres before being delivered to various devices. For algorithms to fulfil their potential, however, they need to run on the device itself, beyond the reach of information processing facilities. The key to these efforts lies in chips that enable machines and data centres to run increasingly powerful programs.\n\nUntil now, AI software has mostly\u00a0run\u00a0on graphics processing units (GPUs), providing companies with the computing power needed to train algorithms for various tasks. But there\u2019s only so much this approach can deliver. That\u2019s why the tech industry has started building AI chips \u2013 specialised computer processors that contain software and hardware components specifically designed to accelerate AI computations. Not only do these new chips make data centres faster, they also enable self-driving vehicles, phones, drones, robots, and other machines to independently process complex code and perform better.\n\nThat\u2019s why the global AI chip market is<a href=\"https:\/\/www.alliedmarketresearch.com\/artificial-intelligence-chip-market\" class=\"broken_link\" rel=\"noopener\">\u00a0booming<\/a>\u00a0and is projected to reach a value of $91.18 billion by 2025. Global financial and tax consulting firm\u00a0<i>Deloitte<\/i><a href=\"https:\/\/www2.deloitte.com\/us\/en\/insights\/industry\/technology\/technology-media-and-telecom-predictions\/2020\/ai-chips.html\" rel=\"noopener\">\u00a0predicts<\/a>\u00a0that over 750 million AI chips will be sold throughout the world in 2020 alone. From startups and universities to car companies and tech giants, a diverse range of actors are racing to develop powerful processors.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-64a6cee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"64a6cee\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ab730ad\" data-id=\"ab730ad\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a72c3cb elementor-widget elementor-widget-heading\" data-id=\"a72c3cb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>Investors and entrepreneurs are jumping into the AI-chip space<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd8c046 elementor-widget elementor-widget-text-editor\" data-id=\"dd8c046\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tThe potential of new chips to improve AI processes has attracted numerous investors and entrepreneurs. In the period from 2015 to 2018, for instance, US venture capitalists<a href=\"https:\/\/www.newtonx.com\/insights\/2019\/06\/04\/ai-computer-chips-china-us\/\" class=\"broken_link\" rel=\"noopener\">\u00a0invested<\/a>\u00a0over $1 billion in AI chip startups. Larger players are acquiring smaller startups, too. For instance, Intel, the world\u2019s largest semiconductor chip manufacturer,\u00a0<a href=\"https:\/\/techcrunch.com\/2019\/12\/16\/intel-buys-ai-chipmaker-habana-for-2-billion\/\" rel=\"noopener\">purchased<\/a>\u00a0the Israeli AI chipmaker Habana Labs for around $2 billion in December 2019. Mike Delmer, a microchip analyst at The Linley Group, an analyst firm,<a href=\"https:\/\/www.technologyreview.com\/s\/613305\/this-chip-was-demoed-at-jeff-bezoss-secretive-tech-conference-it-could-be-key-to-the-future\/\" rel=\"noopener\">\u00a0says<\/a>\u00a0that \u201cIt&#8217;s impossible to keep track of all the companies jumping into the AI-chip space. I\u2019m not joking that we learn about a new one nearly every week.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d2c88c elementor-widget elementor-widget-text-editor\" data-id=\"1d2c88c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tTech corporations like Nvidia and Google have already developed AI chips customised for various AI applications. Apple is also equipping iPhones with AI chips, while China\u2019s Huawei upgraded its Kirin smartphone chips to more effectively deal with AI-related tasks. Governments are also becoming increasingly interested in this thriving industry. The Defense Advanced Research Projects Agency (DARPA), which is in charge of developing military-related emerging technologies for the US government, is funding several AI chip projects, while Chinese authorities are also supporting companies working in this field. The industry is experiencing rapid growth, and it will be interesting to see whose chips will eventually dominate the market.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-242b25c elementor-widget elementor-widget-heading\" data-id=\"242b25c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>From chips smaller than a fingernail to... iPad-sized AI chips?<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d41f24 elementor-widget elementor-widget-text-editor\" data-id=\"1d41f24\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tComputer chips are usually tiny. Many are even smaller than a fingernail, which is why the news that the US-based startup Cerebras<a href=\"https:\/\/www.wired.com\/story\/power-ai-startup-built-really-big-chip\/\" rel=\"noopener\">\u00a0developed<\/a>\u00a0an iPad-sized chip came as a surprise to many. A 22-cm square, it\u2019s likely the largest computer chip ever built. The device \u201ccan do the work of a cluster of hundreds of GPUs, depending on the task at hand, while consuming much less energy and space\u201d,<a href=\"https:\/\/www.wired.com\/story\/power-ai-startup-built-really-big-chip\/\" rel=\"noopener\">\u00a0says<\/a>\u00a0Cerebras founder and CEO Andrew Feldman. Also, data moves around the chip 1,000 times faster than between separate chips linked in a cluster.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e49f36 elementor-widget elementor-widget-text-editor\" data-id=\"8e49f36\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tBut making a large chip comes with unique challenges. Most computer chips can be air-cooled, but the one designed by Cerebras requires a cool water pipe system to prevent it from overheating. Another challenge is the production process itself. The huge chip is manufactured by TSMC, a Taiwan-based contract chipmaker, which had to substantially adapt its facility and equipment to adjust to the scale of this project.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06176d2 elementor-widget elementor-widget-text-editor\" data-id=\"06176d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tClearly, Cerebras\u2019 product is unlikely to end up in smartphones or tablets. Instead, the company plans to sell servers built around the chip to clients that want to take their AI projects to the next level. It\u2019s already collaborating with other companies on some drug design projects, and big tech firms like Facebook, Amazon, and Microsoft might also be interested in using the new chip, as it would enable them to create smarter algorithms more quickly. Such service \u201cwill be expensive, but some people will probably use it\u201d,<a href=\"https:\/\/www.wired.com\/story\/power-ai-startup-built-really-big-chip\/\" rel=\"noopener\">\u00a0says<\/a>\u00a0Eugenio Culurciello, a hardware design expert at US-based chipmaker Micron.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6faf09 elementor-widget elementor-widget-heading\" data-id=\"c6faf09\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>New chip processes massive neural networks millions of times faster than typical computers<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-99a410b elementor-widget elementor-widget-text-editor\" data-id=\"99a410b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tExperts at MIT have taken a different approach to building AI chips. The team, consisting of Dirk Englund, Alexander Sludds, and several other researchers, is<a href=\"http:\/\/news.mit.edu\/2019\/ai-chip-light-computing-faster-0605\" rel=\"noopener\">\u00a0developing<\/a>\u00a0a chip that uses light instead of electricity to run AI computations, drastically reducing energy consumption. Initial simulations indicated that the chip could process massive neural networks millions of times faster than its electrical counterparts or typical computers. This could be especially useful in reducing the energy consumption of data centres around the world. The researchers are now building a prototype chip to experimentally prove the potential of this technology.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8708e3b elementor-widget elementor-widget-text-editor\" data-id=\"8708e3b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tVivienne Sze is another MIT researcher actively working in the AI chip industry. Together with Joel Emer, a research scientist at Nvidia and a professor at MIT, she<a href=\"https:\/\/www.technologyreview.com\/s\/613305\/this-chip-was-demoed-at-jeff-bezoss-secretive-tech-conference-it-could-be-key-to-the-future\/\" rel=\"noopener\">\u00a0developed<\/a>\u00a0a chip called Eyeriss. During several tests, the chip substantially outperformed standard processors by 10 or even 1,000 times, depending on which algorithm it powered. Sze even got to present her design at MARS, a yearly event hosted by Amazon founder and CEO Jeff Bezos. The gathering brings together the most innovative minds from the AI, automation, robotics, and space industries. In addition to Eyeriss, Sze also took part in the development of a low-power AI chip called Navion, used in small drones for mapping and navigation purposes.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0579bc3 elementor-widget elementor-widget-video\" data-id=\"0579bc3\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/embed\\\/gG-Y-7GmOUg&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eeb56ad elementor-widget elementor-widget-heading\" data-id=\"eeb56ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>Tesla AI chip technology to bring about self-driving revolution<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6d536b elementor-widget elementor-widget-text-editor\" data-id=\"b6d536b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tSmart algorithms are vital for the deployment of self-driving vehicles. They analyse camera and sensory data and navigate cars and trucks on busy roads. For that to happen, however, vehicles have to be equipped with powerful computers. US-based electric car maker Tesla<a href=\"https:\/\/www.theverge.com\/2019\/4\/24\/18514308\/tesla-full-self-driving-computer-chip-autonomy-day-specs\" rel=\"noopener\">\u00a0claims<\/a>\u00a0its full self-driving (FSD) computer is up to that task. What makes the FSD unit particularly efficient is two AI chips designed by Tesla and manufactured by South Korean electronics giant Samsung. A single chip can perform up to 72 trillion operations per second, and the system as a whole can analyse 2,100 frames of video each second. The carmaker<a href=\"https:\/\/www.theverge.com\/2019\/4\/24\/18514308\/tesla-full-self-driving-computer-chip-autonomy-day-specs\" rel=\"noopener\">\u00a0explains<\/a>\u00a0that such performance makes it \u201c21 times faster than previous-generation hardware\u201d.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d5768c elementor-widget elementor-widget-text-editor\" data-id=\"3d5768c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tEight cameras, 12 ultrasonic sensors, a front-facing radar, and GPS feed the chips with huge amounts of information. The AI then analyses this data stream to decide whether the vehicle should brake, accelerate, or turn. Tesla\u2019s CEO, Elon Musk, is sure that the new chips will bring about the self-driving revolution and put over a million fully autonomous cars on the road in 2020. But analysts warn that the famed entrepreneur might be too confident. Mike Demler, a microprocessor expert and analyst at The Linley Group,<a href=\"https:\/\/www.theverge.com\/2019\/4\/24\/18514308\/tesla-full-self-driving-computer-chip-autonomy-day-specs\" rel=\"noopener\">\u00a0says<\/a>\u00a0that \u201cOn pure technical grounds, [Tesla has built] a significant chip. It\u2019s just not the best thing since sliced bread, as Musk claims\u201d.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-865f141 elementor-widget elementor-widget-heading\" data-id=\"865f141\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>Chinese and European AI chipmakers enter the race<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4203c9f elementor-widget elementor-widget-text-editor\" data-id=\"4203c9f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tUS companies might have a lead in the AI chip market, but other regions are catching up as well. In China, e-commerce and tech giant Alibaba has<a href=\"https:\/\/www.cnbc.com\/2019\/09\/25\/alibaba-unveils-its-first-ai-chip-called-the-hanguang-800.html\" rel=\"noopener\">\u00a0developed<\/a>\u00a0a special chip called the Hanguang 800 that powers a number of AI processes. Instead of hours, some computing tasks are now completed in less than five minutes. The new technology won\u2019t be sold to third parties as a standalone product, but rather be used internally in operations related to product search, automatic translation on e-commerce sites, personalised recommendations, and advertising. In the future, the company might provide access to the Hanguang chips through its cloud computing unit.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf63941 elementor-widget elementor-widget-text-editor\" data-id=\"cf63941\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tIn Europe, the UK-based startup Graphcore has<a href=\"https:\/\/techcrunch.com\/2020\/02\/24\/graphcore-the-ai-chipmaker-raises-another-150m-at-a-1-95b-valuation\/\" rel=\"noopener\">\u00a0raised<\/a>\u00a0$150 million in funding to expand its research and sales operations. The company is valued at $1.95 billion and already works with a range of clients, including European search engine company Qwant and investment management firm Carmot Capital. Graphcore\u2019s chips are called Intelligence Processing Units (IPUs) and come with corresponding Poplar software. Also, the IPUs are available \u201cfor external customers on the Azure Cloud, as well as for use by Microsoft internal AI initiatives\u201d,<a href=\"https:\/\/techcrunch.com\/2020\/02\/24\/graphcore-the-ai-chipmaker-raises-another-150m-at-a-1-95b-valuation\/\" rel=\"noopener\">\u00a0says<\/a>\u00a0Nigel Toon, the company\u2019s founder and CEO.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2be7b34 elementor-widget elementor-widget-video\" data-id=\"2be7b34\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/embed\\\/Fd2-WaqkXQY&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8b4120 elementor-widget elementor-widget-heading\" data-id=\"f8b4120\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><h2><strong>The development race for AI chips is bound to intensify<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a428843 elementor-widget elementor-widget-text-editor\" data-id=\"a428843\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tFrom smartphones and medical tools to autonomous vehicles and e-commerce, AI technologies will be applied to many different areas. They will enable companies to make important discoveries and develop vital products. But increasingly complex algorithms require hardware with huge computing capacity, leading to a growing interest in the development of better computer processors \u2013 powered by AI. They\u2019re vital for the future of many industries, which is why the race to develop advanced AI chips is expected to intensify.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>From smartphones and medical tools to autonomous vehicles and e-commerce, AI technologies will be applied to many different areas. They will enable companies to make important discoveries and develop vital products. But increasingly complex algorithms require hardware with huge computing capacity, leading to a growing interest in the development of better computer processors &ndash; powered by AI. They&rsquo;re vital for the future of many industries, which is why the race to develop advanced AI chips is expected to intensify.<\/p>\n","protected":false},"author":661,"featured_media":8068,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97],"ppma_author":[3424],"class_list":["post-2396","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence"],"authors":[{"term_id":3424,"user_id":661,"is_guest":0,"slug":"richard-van-hooijdonk","display_name":"Richard Hooijdonk","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/07\/Untitled-19-150x150.png","user_url":"https:\/\/www.richardvanhooijdonk.com\/","last_name":"Hooijdonk","first_name":"Richard","job_title":"","description":"Richard van Hooijdonk, trendwatcher, <a href=\"https:\/\/richardvanhooijdonk.com\/en\/\">futurist<\/a> and international keynote speaker, offers valuable inspiration sessions for companies,\u00a0organizations and the public sector.\u00a0His inspiration sessions have been attended by over 420,000 people. He is a regular guest at radio and television programs. He also lectures at\u00a0Nyenrode Business University and Erasmus University Rotterdam\/Netherlands.\u00a0He investigates tech trends like robotics, drone technology, autonomous transport systems, Internet of Things, virtual reality, biotech, nanotech, neurotech, blockchain, 3D and 4D printing and of course augmented and virtual reality and their impact on various industries. Findings are published weekly in the form of compelling articles, e-books and white papers."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=2396"}],"version-history":[{"count":7,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2396\/revisions"}],"predecessor-version":[{"id":34955,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2396\/revisions\/34955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/8068"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=2396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=2396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=2396"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=2396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}