Tesla backs vision-only approach to autonomy using powerful supercomputer

Tesla backs vision-only approach to autonomy using powerful supercomputer

3 years ago
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https://techcrunch.com/2021/06/21/tesla-backs-vision-only-approach-to-autonomy-using-powerful-supercomputer/

Tesla CEO Elon Musk has been teasing a neural network training computer called ‘Dojo’ since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only autonomous driving. While Dojo itself is still in development, Tesla today revealed a new supercomputer that will serve as a development prototype version of what Dojo will ultimately offer. 

At the 2021 Conference on Computer Vision and Pattern Recognition on Monday, Tesla’s head of AI, Andrej Karpathy, revealed the company’s new supercomputer that allows the automaker to ditch radar and lidar sensors on self-driving cars in favor of high-quality optical cameras. During his workshop on autonomous driving, Karpathy explained that to get a computer to respond to new environment in a way that a human can requires an immense dataset, and a massively powerful supercomputer to train the company’s neural net-based autonomous driving technology using that data set. Hence the development of these predecessors to Dojo.

Tesla backs vision-only approach to autonomy using powerful supercomputer

Jun 22, 2021, 2:28am UTC
https://techcrunch.com/2021/06/21/tesla-backs-vision-only-approach-to-autonomy-using-powerful-supercomputer/ > Tesla CEO Elon Musk has been teasing a neural network training computer called ‘Dojo’ since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only autonomous driving. While Dojo itself is still in development, Tesla today revealed a new supercomputer that will serve as a development prototype version of what Dojo will ultimately offer.  > At the 2021 Conference on Computer Vision and Pattern Recognition on Monday, Tesla’s head of AI, Andrej Karpathy, revealed the company’s new supercomputer that allows the automaker to ditch radar and lidar sensors on self-driving cars in favor of high-quality optical cameras. During his workshop on autonomous driving, Karpathy explained that to get a computer to respond to new environment in a way that a human can requires an immense dataset, and a massively powerful supercomputer to train the company’s neural net-based autonomous driving technology using that data set. Hence the development of these predecessors to Dojo.