Nvidia CEO: Uber crash will spur more self-driving vehicle investment

Nvidia Helps Retired Professor Win Three-Stock Derby Contest

Uber isn't the only company affected by this incident; the fatality puts heavy scrutiny on other autonomous auto initiatives.

The company, which provides technology to Uber Technologies Inc., stopped its self-driving test program on public roads in the aftermath of a March 18 fatal accident involving an Uber vehicle in Tempe, Arizona.

But following a fatal accident last week in which an Uber self-driving auto struck and killed a pedestrian while in autonomous driving mode, Nvidia is suspending its testing.

Nvidia is helping autonomous vehicle manufacturers fit in more testing miles, faster.

Nvidia suggested that the accident was a reminder of the challenges facing the development of self-driving technology, and has reaffirmed the company's approach of "extreme caution" and "the best safety technologies".

Last week, Uber suspended North American tests of its self-driving vehicles after one of its self-driving cars killed a woman in Arizona.

Uber's self-driving cars were struggling before Arizona crash
Tempe police said the investigation is continuing and would not say whether Vasquez was distracted by something in the vehicle. Waymo and Cruise, a self-driving vehicle company owned by GM, reported their "intervention" numbers to California regulators.

Nvidia Corporation (NASDAQ:NVDA) announced that it would be halting its self-driving auto tests for a moment in order to ensure the safety of people on the road.

"This tragedy is exactly why we've committed ourselves to perfecting this life-saving technology".

The company has Uber as a customer as the ride hailing service uses the chipmaker's computing platform in its fleet of self-driving vehicles. "DRIVE Constellation for virtually testing and validating will bring us a step closer to the production of self-driving cars". "Our global fleet of manually driven data collection vehicles continue to operate", said the Nvidia spokesperson in a statement.

To no surprise, the simulation is powered by NVIDIA GPUs.

The second server houses the Nvidia DRIVE Pegasus AI, which will process the gathered data as if it's coming from sensors in a self-driving auto on the road. "See the latest breakthroughs in self-driving cars, smart cities, healthcare, big data, high performance computing, virtual reality and more", writes the firm.

In the same time, the software was put through 2.7 billion miles of testing in a virtual world, allowing algorithms to be quickly refined and tested against numerous variations of certain tricky real-world or hypothetical scenarios. Waymo uses simulation in addition to physical testing.

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