Tesla AI Director Andrej Karpathy announces his departure from the company — analysts weigh in on the impact. Originally published on Tesla Oracle. After 5 years of leading the artificial intelligence team at Tesla, Andrej Karpathy is now leaving the company, he announced in a tweet yesterday. Andrej was one of … [continued]
Tesla’s Director of Artificial Intelligence (AI), Andrej Karpathy, shared a thread this week about a new project that his team is working on. He also shared some video footage from it. The thread, in a nutshell, is an invitation for those interested in helping Tesla solve this particular problem. They … [continued]
This actually isn’t breaking news — I’ve been meaning to write about it for weeks, ever since I discovered it on NVIDIA’s blog. It also echoes what Danny Shapiro, NVIDIA’s Vice President of Automotive, told me in a podcast interview in February. The short story is that NVIDIA GPUs power … [continued]
An earlier version of this article was originally published on Tesla Oracle, and a revised update edited by EVANNEX. Tesla’s Elon Musk recently announced via his Twitter feed that the automaker is going to be holding a long-awaited Tesla AI Day sometime soon. The purpose of Tesla’s upcoming AI Day is to recruit fresh talent to … [continued]
The Conference on Computer Vision and Pattern Recognition (CVPR) held its 2021 Workshop on Autonomous Driving (WAD) virtually and Tesla’s Senior Director of AI, Andrej Karpathy, was one of many keynote speakers. The video is a bit over 8 hours, but you can listen to Karpathy’s part starting right here. … [continued]
Autonomous driving has been one of the fundamental pillars of Tesla’s push to electrify transport, and by all accounts, the California company is leading the pack in production deployments of autonomous driving technology.
Tesla’s progress with artificial intelligence and neural nets has propelled its Autopilot and Full Self Driving solutions to the front of the pack.
Andrej Karpathy, Tesla’s Director of Artificial Intelligence and Autopilot Vision, is one of the chief architects of Tesla’s self-driving vision. In July, he hosted a workshop on Neural Network Multi-Task Learning, where he offered some detailed insights on Tesla’s use of AI in developing its Autopilot features. Now Karpathy is featured in a new video in which he describes how Tesla is using PyTorch, an open-source machine learning library, to develop full self-driving capabilities for its vehicles, including Navigate on Autopilot and Smart Summon.
As you read this, Tesla’s vehicles are out there on the world’s roads, learning, learning. Like precocious children, they’re steadily building a mental image of the world around them, a body of knowledge that forms the heart of Tesla’s Autopilot suite of features.
In this article, I will examine the claims that Tesla made at its Tesla Autonomy Day on April 22. Although I’m a small investor in Tesla and undoubtedly a fan of the company and its cars, I’ll try to be as objective as I can be and show where Tesla’s claims are proven or undisputed and where they are unproven and require a leap of faith. In order to have a robotaxi, Tesla has to have the following pieces of the puzzle:
