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) …
"We invented a computing model called GPU accelerated computing and we introduced it almost slightly over 10 years ago," Huang said, noting that while AI is only recently dominating tech news headlines, the company was working on the foundation long before that. Nvidia's tech now resides in many of the world's most powerful supercomputers, and the applications include fields that were once considered beyond the realm of modern computing capabilities. Now, Nvidia's graphics hardware occupies a more pivotal role, according to Huang – and the company's long list of high-profile partners, including Microsoft, Facebook and others, bears him out. GTC, in other words, has evolved into arguably the biggest developer event focused on artificial intelligence in the world.
At this year's CES 2017, NVIDIA's CEO Jen-Hsun Huang presented in the CES opening keynote his vision for the company's future to the audience, explaining where he believes the company will succeed in the future. I also liked that Huang simplified AI and graphics so more could understand it. Of the areas where NVIDIA participates in right now, two areas of growth for the company are gaming and automotive, both of which are growing and getting quite competitive. While NVIDIA is still a relatively new entrant into the automotive business, the company has proven that they can keep up with the legacy suppliers and surpass them by delivering innovative automotive solutions. NVIDIA's leadership in technologies like DNN AI training have proven to be a valuable resource for the company and their partners who are looking to apply machine learning to their own products.
Mercedes-Benz plans to introduce a production car powered by artificial intelligence in the next year as part of a collaboration with chip-maker Nvidia. Plans for the car were disclosed during a talk Friday between Sajjad Khan, Mercedes-Benz' vice president of digital vehicle and mobility, and Nvidia CEO Jen-Hsun Huang, at CES here. "I am very proud of saying that within 12 months we are rolling out a product with Nvidia," Khan said on Friday. Very few details of the car are known, including whether it will be a completely new vehicle or an existing Mercedes model. It is a product of a three-year collaboration, according to Huang.
Nvidia Corp. was on a victory lap at CES 2017 after recording monster stock growth in 2016, but it wasn't all horn-tooting. The company also unveiled new business plans that it hopes will maintain its stock momentum through the next few years. Clad in his token black leather jacket, Nvidia NVDA, 1.34% CEO Jen-Hsun Huang made three noteworthy announcements on the CES keynote stage in Las Vegas earlier this week. The first few were in Nvidia's traditional terrain: gaming, where its graphics processing chips have been used in high-powered videogames. But the other two focused on its newer operating segments: artificial intelligence and driverless cars, where it hopes to squeeze out even more juice over the long term.
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.
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.
Nvidia had a huge 2016 with one of best performing stocks of the year. In the past 12 months, the graphics processing chipmaker's stock value has boomed 230%. This is mostly due to its impressive growth in artificial intelligence applications using its graphics processors in data centers and cars. Meanwhile, Nvidia maintains a fast-growing business in its core gaming market. Partially as a reflection of the growing importance of AI in the tech industry, Nvidia stole the opening Consumer Electronics Show keynote this year from Intel.
At NVIDIA's CES 2017 keynote address, CEO Jen-Hsun Huang announced his company's plan to turn your car into "your most personal robot." Specifically, Nvidia announced the company's AI car supercomputer called the Xavier -- an auto-grade, 512 core Volta GPU and AI platform that's capable of learning how to drive by watching a human driver. To show it off for the CES crowd, Nvidia installed Xavier in an autonomous Lincoln called BB8 and let it loose on the streets of Silicon Valley. What sets Nvidia's Star Wars-inspired vehicle apart is that it learns on its own through observation and deep learning, backed up with HD map data in the cloud. According to Huang, this lets the vehicle figure out how to adapt to constantly changing real world conditions or learn tricky situations like how to navigate down a narrow, overgrown driveway.
Beijing and other Chinese cities are choking under a blanket of smog. It's so thick in Tianjin that planes can't land. Authorities have issued the first "red alert" of 2016, and 1,200 Beijing-area factories were ordered to shut down or to reduce production, according press reports. This winter, officials will be equipped with forecasting tools from IBM and Microsoft that they tested last year. IBM's tool, used by the city government, is designed to incorporate data from traditional sources, such as the 35 official multipollutant air-quality monitoring stations in Beijing, and lower-cost but more widespread sources, such as environmental monitoring stations, traffic systems, weather satellites, topographic maps, economic data, and even social media.
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.