Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies. Can this rapid growth in the use cases for machine learning continue? Recent research results from applying machine learning to diagnosis are impressive (see "An AI Ophthalmologist Shows How Machine Learning May Transform Medicine"). Your chips are already driving some cars: all Tesla vehicles now use Nvidia's Drive PX 2 computer to power the Autopilot feature that automates highway driving.
Audi and Nvidia have been collaborating for some time, but at CES 2017, the companies made their biggest joint announcement yet. Using artificial intelligence and deep learning technology, the companies will bring fully automated driving to the roads by 2020. To achieve this, Audi will leverage Nvidia's expertise in artificial intelligence, the fruits of which are already being shown at CES. Audi's Q7 Piloted Driving Concept is fitted with Nvidia's Drive PX 2 processor and after only four days of "training," the vehicle is already driving itself over a complex road course. This is due to the Drive PX 2's incredible ability to learn on the go, which is a far cry from the first driverless cars that needed pre-mapped routes to function properly. "Nvidia is pioneering the use of deep learning AI to revolutionize transportation," Nvidia CEO Jen-Hsun Huang said.
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 might be most famous as a manufacturer of computer graphics cards, but the company has been increasingly turning its attention to the automotive market over the past few years. This CES, it detailed new moves that will move it even further into the market: partnerships with suppliers ZF and Bosch that will see it making parts for automatic cars, and an expanded deal with Audi that will see the companies bring a proper self-driving vehicle to market by 2020. Audi and Nvidia have worked together before, but the new partnership, announced by Nvidia CEO Jen-Hsun Huang on stage at CES 2017, will see the companies working to produce a "Level 4" automatic vehicle -- that means a car capable of driving entirely on its own. As an early proof of concept, the two companies have already collaborated on a experimental self-driving Q7 SUV. Nvidia says the car -- which is on display at CES -- learned to drive itself in just four days, using its AI technology.
Health care doesn;t have a big data problem. It has a big data opportunity, thanks to artificial intelligence. Think about the number of inefficiencies in your daily life -- long lines, traffic jams, a reliance on;snail mail; for certain bills or communications. Those inefficiencies are inconvenient and annoying, yes, but they are usually not a matter of life and death. The need for productivity in health care is different.
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.
Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.
Nvidia announced several new partners for its efforts to bring autonomous cars to public roads in a production capacity today, but the biggest by far was Audi. Nvidia is working with the carmaker to bring its AI driving tech, which is available thanks to its latest in-car autonomous computing hardware and software, to market by 2020. Nvidia's partnership with Audi is not entirely new – the companies have been working together for 10 years, though obviously not on autonomous tech for all that time. The Nvidia team up is ambitious, however, in terms of its timeline, with the aim of getting Level 4 autonomy (full self-driving, with manual driving options) available by 2020. Audi already has an autonomous test car here at CES this year – it's a Q7 with AI on board that has been trained for only four days, but is already driving itself competently.
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.
NVIDIA Corporation (NASDAQ:NVDA) has received a price target raise at Citibank by analyst Atif Malik, who believes that the current weakness in the stock price due to some competitive concerns is a buying opportunity. Nvidia has made a lot of progress in Machine Learning and Artificial Intelligence during the past couple of years and has evolved from being just another GPU manufacturer to a full-fledged computing enterprise. Furthermore, the company also signed an agreement with Tesla Motors recently for the supply of Drive PX chips for its autonomous vehicles. Analyst commented that the recent weakness in Nvidia's stock price is temporary and the competitive concerns that surround the stock in the short term are mostly overblown. Nvidia has a lot of growth potential and it is emerging as one of the leading companies in the machine-learning arena.