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Nvidia aims to spread Google AI through home

USATODAY

Nvidia Founder, President and CEO Jen-Hsun Huang introduces the Nvidia Spot, a USD 49.95 microphone and speaker that will let owners use Google Assistant anywhere in a home, as he delivers a keynote address at CES 2017 (Photo: Ethan Miller/Getty Images) LAS VEGAS--Nvidia is best known for the high-end computer graphics cards prized by hardcore gamers. If co-founder and CEO Jen-Hsun Huang delivers on his bold vision, more people are likely to recognize Nvidia as the powerhouse behind artificial intelligence in your home and in your vehicle. Clad in his trademark black leather jacket, Huang delivered a high energy opening night keynote address Wednesday night at CES, assuming a prestigious speaking slot that for years was reserved for Microsoft's Bill Gates and later his successor Steve Ballmer. Nvidia (NVDA) is already a star on Wall Street. It is coming off a two-year hot streak, with a particularly sizzling 224% gain in 2016 that made it the top performing stock in the S&P 500.


Flipboard on Flipboard

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Entertainment nirvana, self-driving cars, and many other advances are just around the corner, thanks to the combination of Nvidia's creation of the graphics processing unit (GPU) and the software created by artificial intelligence researchers. That software uses GPUs to run lots of processes in parallel, making all the necessary calculations for pattern recognition. And that will advance AI in a host of applications, according to one of the tech industry's leaders. "These achievements were impossible until just a few years ago," said Jen-Hsun Huang, CEO of Nvidia, in a keynote speech at CES 2017, the big tech trade show in Las Vegas this week. "We are going through, unquestionably, the most exciting time in the tech " Huang said.



Sorry, Your Next Car Will Probably Be Smarter Than You -- The Motley Fool

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NVIDIA (NASDAQ:NVDA) and Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google are two leaders in the car tech space -- and they're just getting started. Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.


Nvidia Places Bet on Artificial Intelligence With New Chip

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Nvidia Corporation has built a new deep-learning chip, the Tesla P100, with 15 billion transistors for deep-learning computing. The Santa Clara, California-based tech firm aims to send its high-speed graphics card to firms that make hyperscale in-house servers. The good news however, is that Nvidia says it is shipping the new deep-learning chip to key research institutions; and key Artificial Intelligence, High Performance Computing OEMs, and cognitive cloud players. Nvidia unveils Tesla P100 chip that aims to dominate Artificial Intelligence datacenters.


2 stats convinced me that robots are already taking over

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Jen-Hsun Huang, the CEO of computer graphics hardware company Nvidia, can see this clearly. For a long time, gamers have loved Nvidia for the company's graphics processors (GPUs) that have the ability to gorgeously render insanely violent games. We've also been told that Google's deep learning's pattern-recognition could have use cases ranging from piloting self-driving cars to creating personalized recipes. Huang says that the number of companies talking to his company about deep learning is "exploding."


One stat shows how artificial intelligence is exploding into the world

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Nvidia -- the graphics card manufacturer beloved by computer gamers -- has become a major player in AI because its processors are uniquely suited to handling the demands of deep learning algorithms. "Two years ago we were talking to 100 companies interested in using deep learning," he continued, noting that the industries range across advertising, energy, cars, finance, and medicine. These fields would be interested in deep learning because the technique doesn't require engineers to program what works or what doesn't into an algorithm -- it instead allows computers to learn on their own. The most famous example is AlphaGo, Google program that just toppled a human champion.