I am really not a fan of how they use the term self-driving cars. They are only self-driving in very specific conditions, trained on very specific roads, and even then, they consistently fail in the United States. Pretending that the same model will work anywhere else is delusional, and no one is going to create a universal road standard just for this
Isn’t the goal to eventually get actually self-driving cars, not whatever these are?
Of course the answer is yes, but it’s not like you just plug a USB drive into any car, say “go there”, and it just goes. In reality, artificial intelligence has to be trained on something
It’s better and faster to train AI in robust simulated environments than to do it in the real world for these kinds of things.
This is the best summary I could come up with:
Nvidia and Foxconn are working together to build so-called “AI factories,” a new class of data centers that promise to provide supercomputing powers to accelerate the development of self-driving cars, autonomous machines and industrial robots.
The AI factory tie-up builds off a partnership between Nvidia and Foxconn announced in January to develop autonomous vehicle platforms.
On Tuesday, Foxconn also committed to manufacturing ECUs with Drive Thor, Nvidia’s next-gen SoC, after production starts in 2025.
As part of that partnership, Foxconn — which has been steadily unveiling off-the-shelf EV platforms for automakers to purchase — said the vehicles it makes as a contract manufacturer will be built with Nvidia’s Drive Hyperion 9 platform, which includes not only Drive Thor, but also a suite of sensors like cameras, radar, lidar and ultrasonic that are necessary for self-driving capabilities.
Because these AI factories are essentially rivals to Tesla’s Dojo supercomputer, which the Elon Musk-owned automaker started production on over the summer.
“This is a factory that takes data input and produces intelligence as an output,” said Huang, as Liu nodded his assent.
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