If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The notion of cars that drive themselves is one that becomes more and more real with each passing day. Acquisitions seem to be happening left and right, and almost every major auto manufacturer is devoting resources to bring us a self driving car. Companies like Google, Uber, and Tesla are all devoting significant investments to the self driving car with the universal target date of "2020" for commercialization being forecasted by nearly all of these players. Mobileye, about the only pure-play self driving car stock out there, recently announced a partnership with Delphi and a target date of 2019. While all eyes remain fixed on the big names in this game, there are some new entrants to this space that you may never heard of but that are getting closer and closer to making the self driving car a reality.
SANTA CLARA, CA--(Marketwired - Apr 17, 2017) - NVIDIA ( NASDAQ: NVDA) today announced that its deep learning platform is now available as part of Baidu Cloud's deep learning service, giving enterprise customers instant access to the world's most adopted AI tools. The new Baidu Cloud offers the latest GPU computing technology, including Pascal architecture-based NVIDIA Tesla P40 GPUs and NVIDIA deep learning software. It provides both training and inference acceleration for open-source deep learning frameworks, such as TensorFlow and PaddlePaddle. "Baidu and NVIDIA are long-time partners in advancing the state of the art in AI," said Ian Buck, general manager of Accelerated Computing at NVIDIA. "Baidu understands that enterprises need GPU computing to process the massive volumes of data needed for deep learning.
Dedicated Computing is co-hosting a Deep Learning Institute workshop in collaboration with NVIDIA and Milwaukee School of Engineering (MSOE). The workshop will take place at MSOE on April 13, 2017. Deep learning is a new area of machine learning that seeks to use algorithms, big data, and parallel computing to enable real-world applications and deliver results. Machines are now able to learn at the speed, accuracy, and scale required for true artificial intelligence. This technology is used to improve self-driving cars, aid mega-city planners, and help discover new drugs to cure disease.
NVIDIA's (NASDAQ:NVDA) graphic cards have long been favorites among hardcore gamers, but who would've thought the chipmaker's stock would explode the way it has in recent times? The share price has more than tripled in just the past year, turning NVIDIA into a near eight-bagger in just five years. Of course, there's more to its run than just graphics processors. It's more an artificial intelligence computing company today, having made huge headway in two of the hottest technology fields of our times: AI and self-driving cars. For investors looking to find the "next NVIDIA," the trick is to find a company that is sitting on a big growth opportunity, or is already tapping into a soon-to-heat-up trend, but that is still flying under Wall Street's radar.
Graphics chipmaker Nvidia easily topped second quarter earnings targets Thursday after the bell. The company posted record-revenue for the quarter, and once again credits strong sales of its GPUs and deep learning technology for the boost on its balance sheet. See how the cloud is disrupting traditional operating models for IT departments and entire organizations. Nvidia co-founder and CEO Jen-Hsun Huang said the convergence of graphics, computer vision and artificial intelligence is fueling growth across the company's specialized platforms, including gaming, pro visualization, datacenter and automotive. "We are more excited than ever about the impact of deep learning and AI, which will touch every industry and market.
Following a recall of some of its Shield tablets last week, Nvidia published solid second quarter financial results after the bell on Thursday. Non-GAAP earnings were 34 cents per share on a revenue of $1.153 billion, up five percent year-over-year. Wall Street was looking for earnings of 10 cents per share with $1.01 billion in revenue. Nvidia highlighted revenue growth for two verticals in particular: gaming and automotive tech. The GeForce GTX GPU series alone -- primarily utilized for sports gaming titles -- is touted to now have an estimated 130 million viewers.
For cord cutters who want nothing but the best, Nvidia's $200 Shield TV console has always been the box of choice for streaming videos and even games. At CES 2017, the company announced a new-and-improved version that adds in HDR support, refines gaming and entertainment options, and even transforms the Android TV device into a voice-controlled rival of the Amazon Echo. We've already covered all the details revealed during Nvidia's CES 2017 press conference, but I just spent over an hour at Nvidia's suite to learn more about the new Shield TV's every nook and cranny. Here are some initial impressions, and a look at some of the more nitty-gritty improvements that weren't mentioned during the keynote. Before we even get into flashy features like smart-home controls and Google Assistant, the second-gen Shield TV packs worthwhile quality-of-life improvements over its predecessor.
LAS VEGAS, NV--(Marketwired - Jan 4, 2017) - CES -- NVIDIA (NASDAQ: NVDA) today unveiled the new NVIDIA SHIELD TV -- an Android open-platform media streamer built on bleeding-edge visual computing technology that delivers unmatched experiences in streaming, gaming and AI. Sporting a sleek, new design and now shipping with both a remote and a game controller, SHIELD provides the best, most complete entertainment experience in the living room. "NVIDIA's rich heritage in visual computing and deep learning has enabled us to create this revolutionary device," said Jen-Hsun Huang, founder and chief executive officer of NVIDIA, who revealed SHIELD during his opening keynote address at CES. "SHIELD TV is the world's most advanced streamer. Its brilliant 4K HDR quality, hallmark NVIDIA gaming performance and broad access to media content will bring families hours of joy. And with SHIELD's new AI home capability, we can control and interact with content through the magic of artificial intelligence from anywhere in the house," he said.
In the race to build the best AI, there's already one clear winner As Google, Facebook, Microsoft, and Baidu take turns leapfrogging each other in artificial intelligence innovation, one company stands to profit from any outcome: Nvidia. Graphics processor units, the company's biggest moneymaker, have become the industry standard for deep learning, a flavor of artificial intelligence widely used by tech companies to build personal virtual assistants, image recognition for tagging photos, and even the software behind self-driving cars. Despite talks from Microsoft and Google about developing their own proprietary chips, almost every major tech company is partnered up with Nvidia and uses its hardware. Last month, Microsoft announced a partnership to work with Nvidia's AI-tailored DGX-1 supercomputer, and Google's recently revamped cloud services will offer the option to run on Nvidia GPUs in 2017. Facebook's open-source Big Sur design for their server racks also rely on Nvidia hardware.
As Google, Facebook, Microsoft, and Baidu take turns leapfrogging each other in artificial intelligence innovation, one company stands to profit from any outcome: Nvidia. Graphics processor units, the company's biggest moneymaker, have become the industry standard for deep learning, a flavor of artificial intelligence widely used by tech companies to build personal virtual assistants, image recognition for tagging photos, and even the software behind self-driving cars. Despite talks from Microsoft and Google about developing their own proprietary chips, almost every major tech company is partnered up with Nvidia and uses its hardware. Last month, Microsoft announced a partnership to work with Nvidia's AI-tailored DGX-1 supercomputer, and Google's recently revamped cloud services will offer the option to run on Nvidia GPUs in 2017. Facebook's open-source Big Sur design for their server racks also rely on Nvidia hardware.