Tesla’s line of vehicles is changing our concept of personal vehicles forever. The unique combination of electric engines, self-driving ability, and even integration with home energy systems are allowing them to carve out a significant portion of existing and future markets. Neither Elon Musk or Tesla show any signs of slowing down.
In hopes of bringing their artificial intelligence (AI) powered self-driving capabilities to new heights, Musk has brought on a deep learning and computer vision expert. Andrej Karpathy has been a researcher at OpenAI and holds a PhD from Stanford, where he created and taught the university’s first deep learning course. Karpathy has been designated Tesla’s Director of AI and Autopilot Vision.
Karpathy’s expertise makes it plain that Tesla is looking to ramp up its self-driving features. His previous work has focused on image recognition and understanding. His work could give the autonomous driving systems something closer to actual sensory vision. According to a statement from Tesla given to TechCrunch, “For example, identifying not simply that there is a cat in a given picture, but that it is an orange, spotted cat, riding on a skateboard with red wheels on brown hardwood flooring.”
This could allow for better decision making for Tesla’s AI. Instead of just noticing that there is an object in the road, the car can notice that it is a squirrel, and perhaps it can be taught that squirrels (generally) run away before the car approaches, leaving both passenger and furry woodland creature completely safe.