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Chipmakers Are Racing To Build Hardware For Artificial Intelligence

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In recent years, advanced machine learning techniques have enabled computers to recognize objects in images, understand commands from spoken sentences, and translate written language. But while consumer products like Apple's Siri and Google Translate might operate in real time, actually building the complex mathematical models these tools rely on can take traditional computers large amounts of time, energy, and processing power. As a result, chipmakers like Intel, graphics powerhouse Nvidia, mobile computing kingpin Qualcomm, and a number of startups are racing to develop specialized hardware to make modern deep learning significantly cheaper and faster. The importance of such chips for developing and training new AI algorithms quickly cannot be understated, according to some AI researchers. "Instead of months, it could be days," Nvidia CEO Jen-Hsun Huang said in a November earnings call, discussing the time required to train a computer to do a new task.


Chipmakers Are Racing To Build Hardware For Artificial Intelligence

#artificialintelligence

In recent years, advanced machine learning techniques have enabled computers to recognize objects in images, understand commands from spoken sentences, and translate written language. But while consumer products like Apple's Siri and Google Translate might operate in real time, actually building the complex mathematical models these tools rely on can take traditional computers large amounts of time, energy, and processing power. As a result, chipmakers like Intel, graphics powerhouse Nvidia, mobile computing kingpin Qualcomm, and a number of startups are racing to develop specialized hardware to make modern deep learning significantly cheaper and faster. The importance of such chips for developing and training new AI algorithms quickly cannot be understated, according to some AI researchers. "Instead of months, it could be days," Nvidia CEO Jen-Hsun Huang said in a November earnings call, discussing the time required to train a computer to do a new task.


Intel Elevates Its Autonomous Car Efforts Into A New Business Unit

Forbes

Nintendo Reports Second Quarter Losses But 3DS Sales Are Up Thanks To'Pokmon GO' Intel is reorganizing to better position itself for the next big thing in computing: self-driving cars. The chipmaking giant is taking its autonomous car efforts out the Internet of Things business group and creating a new business unit focused exclusively on the new market, called the Automated Driving Group. Doug Davis, the current head of Intel's Internet of Things division, will be heading up the new unit. In August, Davis had announced he would be retiring from Intel soon, but it looks like he changed his mind. "Throughout his career, Doug has consistently been on the leading side of disruption – standing up amazing new technologies that redefine how we experience work and life," said Intel president Murthy Renduchintala in a blog post.


NVIDIA and Microsoft Accelerate AI Together

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SALT LAKE CITY, UT--(Marketwired - Nov 14, 2016) - SC16 -- To help companies join the AI revolution, NVIDIA today announced a collaboration with Microsoft to accelerate AI in the enterprise. Using the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure or on-premises, enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every industry has awoken to the potential of AI," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "We've worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business."


Deep Learning, Cloud Power Nvidia

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A stunning third-quarter earnings report from Nvidia (NVDA) recently was lost in the epic Silicon Valley dread over the GOP election victory. That's too bad, because the graphics chip maker's triumph exemplifies why the left coast is wrong to obsess about presidents. While many American technology companies are well aligned for future demands, few are as well positioned in as many critical markets as Nvidia. From high end chipsets for video gaming to deep learning servers for data centers to lunch pail sized super-computers for self-driving cars, the Santa Clara maker of graphics processing units, or GPUs, is the favorite choice of companies looking for state-of-the-art gear. Nvidia is winning because, like much of the rest of top U.S. technology makers, it took smart risks ahead of its peers, and builds the best stuff.


NVIDIA : Captures Three Major Computex Awards for Tesla M40, Jetson TX1, SHIELD Android TV 4-Traders

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TAIPEI, TAIWAN--(Marketwired - May 31, 2016) - Computex - NVIDIA (NASDAQ: NVDA) won big at the Computex Best Choice Awards, with the NVIDIA Tesla M40 GPU and NVIDIA Jetson TX1 module hauling in Gold Awards and the NVIDIA SHIELD Android TV clinching a Category Award. Garnering these three prestigious awards extends the company's winning streak -- the longest of any international Computex exhibitor -- to eight consecutive years. Taiwan's President Tsai Ing-wen will hand out the awards. The Best Choice Awards, established in 2002, honor innovation, functionality and market potential. The Gold Award-winning NVIDIA Tesla M40 GPU is the world's fastest deep learning training accelerator.


NVIDIA's Quarterly Earnings Beat Estimates, With Growth in All Major Business Segments Fox Business

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In the company's largest business segment, gaming, NVIDIA's revenue was up 17% year over year to 687 million. That's an increase of 47% for automotive technology sales and 63% for datacenter revenue, year over year. Aside from revenue growth, gross margins remained relatively flat year over year at 57.5%, up just 80 basis points. Operating expenses increased 6%, but operating income increased by 39% to 245 million.


NVIDIA's Quarterly Earnings Beat Estimates, With Growth in All Major Business Segments -- The Motley Fool

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"Accelerating our growth is deep learning, a new computing model that uses the GPU's massive computing power to learn artificial intelligence algorithms. In the company's largest business segment, gaming, NVIDIA's revenue was up 17% year over year to 687 million. That's an increase of 47% for automotive technology sales and 63% for datacenter revenue, year over year. Aside from revenue growth, gross margins remained relatively flat year over year at 57.5%, up just 80 basis points.


If You Love Self-Driving Cars, You Should Check Out NXP and NVIDIA -- The Motley Fool

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Let's skip to the chase: Self-driving cars are going to be The Next Big Thing (tm). Here's how you can make big money from this revolution, no matter which carmaker or technology platform comes out on top. Since Alphabet started leading this futuristic idea out into the mainstream, the car industry itself has turned in that direction. Name a carmaker, and I bet the company has developed at least the embryo of a self-driving platform. You can already find traces of this upcoming revolution inside current cars, powering automatic parallel-parking systems or highway-speed autopilots.


How NVIDIA Could Dominate Machine Learning -- The Motley Fool

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Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google, Amazon, and Facebook (NASDAQ:FB) are just a few. Meanwhile, its data center revenue, which includes its GPU sales for cloud-based and machine learning services brought in just 143 million in the quarter. I don't expect NVIDIA's revenue to spike from GPU sales for cloud-based machine learning, but rather steadily increase as the company builds out its data center segment. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon.com, The Motley Fool recommends Intel.