NVIDIA Corporation (NASDAQ:NVDA) and Audi AG (ETR:NSU) announced that they are collaborating to put advanced AI cars on the road starting in 2020, shifting their decade-long partnership into high gear.

Speaking at the opening keynote at CES, NVIDIA founder and CEO Jen-Hsun Huang, joined on stage by Audi of America President Scott Keogh, said future Audi car models will use deep learning to tackle the complexities of driving. The first phase of this new collaboration focuses on NVIDIA DRIVE PX, an AI platform for self-driving cars, which uses trained AI neural networks to understand the surrounding environment, and determine a safe path forward.

“NVIDIA is pioneering the use of deep learning AI to revolutionize transportation,” said Huang. “Audi’s adoption of our DRIVE computing platform for AI cars will accelerate the introduction of next-generation autonomous vehicles, moving us closer to a future of higher driving safety and new mobility services.”

Keogh said: “Audi drivers know the pinnacle of performance and technology. In our mutual pursuit for safer roads, the partnership between Audi and NVIDIA will expand to deep learning and artificial intelligence to bring higher automation onto the road more quickly.”

One of the highlights of CES 2017 will be demos of an Audi Q7 piloted driving concept. Passengers will be able to ride in the vehicle’s back seat, with no one behind the wheel. Outfitted with a DRIVE PX 2 and running NVIDIA DriveWorks software, the Q7 uses deep neural networks — specifically, NVIDIA PilotNet, which recognizes and understands its changing environment while driving safely. The course will be modified during the demonstration, and features a variety of road surfaces, with and without lane markings, and a simulated construction zone requiring a detour.

In his keynote, Huang addressed how AI will anticipate the driver’s needs — driving to the office in the morning and home at night, automatically opening and closing the garage door, and adjusting the climate to the individual’s preferences, as well as being able to understand and respond to requests in a natural conversational language. NVIDIA and Audi first appeared together at CES seven years ago and announced a technology partnership that has steadily expanded. The results include the award-winning Audi MMI navigation and the Audi virtual cockpit, currently available across a wide range of the automaker’s sedans, SUVs and sports cars.

In the coming months, Audi will roll out its new A8, the world’s first Level 3 automated vehicle with its Traffic Jam Pilot system, powered by zFAS, which integrates NVIDIA hardware and software. (Original Source)

Shares of Nvidia Corporation are currently rising 2.79% to $107.30, or up $2.91 in pre-market trading Thursday. NVDA has a 1-year high of $119.93 and a 1-year low of $24.75. The stock’s 50-day moving average is $97.89 and its 200-day moving average is $70.10.

On the ratings front, Nvidia Corporation has been the subject of a number of recent research reports. In a report released yesterday, Citigroup analyst Atif Malik reiterated a Buy rating on NVDA, with a price target of $120, which implies an upside of 15% from current levels. Separately, on the same day, Raymond James’ J Steven Smigie reiterated a Buy rating on the stock and has a price target of $125.

According to TipRanks.com, which ranks over 7,500 financial analysts and bloggers to gauge the performance of their past recommendations, Atif Malik and J Steven Smigie have a yearly average return of 4.7% and 18.7% respectively. Malik has a success rate of 63% and is ranked #1241 out of 4351 analysts, while Smigie has a success rate of 81% and is ranked #170.

Overall, one research analyst has rated the stock with a Sell rating, 7 research analysts have assigned a Hold rating and 18 research analysts have given a Buy rating to the stock. When considering if perhaps the stock is under or overvalued, the average price target is $101.15 which is -3.1% under where the stock closed yesterday.

NVIDIA Corp. is a visual computing company, connecting people through computer graphics. It is engaged in creating graphics chips, which is used in personal computers. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company’s GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.