Information related to Policy Adaptation during Deployment (Pad)
Automotive

Same Job, Different Scenery: A reinforcement learning technique for visual changes

People who take driving lessons during daytime don’t need instruction in driving at night. They recognize that the difference doesn’t disturb their knowledge of how to drive. Similarly, a new reinforcement learning method manages superficial variations in the environment without re-training.
Self-driving car from the inside
Automotive

Cars Idled, AV Makers Keep Rolling: How self-driving researchers stayed busy during the pandemic

The pandemic has forced self-driving car companies off the road. Now they’re moving forward by refining their mountains of training data. Self-driving cars typically collect real-world training data with two human operators onboard, but Covid-19 makes that unsafe at any speed.
Functioning of system that trackes the productivity of industrial workers
Automotive

Eyes on the Assembly Line: Computer vision tracks worker efficiency in warehouses.

AI may not steal your job, but it can tell the boss when you’re slacking. Drishti, a startup based in Palo Alto and Bengaluru, tracks the productivity of industrial workers by recognizing their actions on the assembly line.
Automatic license plate reader
Automotive

Glimpse My Ride: How Los Angeles police used license plate readers

Police in the U.S. routinely use AI to track cars with little accountability to the public. Documents obtained by Wired revealed just how intensively police in Los Angeles, California, have been using automatic license plate readers.
DeepScale's automated vehicle technology
Automotive

Tesla Bets on Slim Neural Nets

Elon Musk has promised a fleet of autonomous Tesla taxis by 2020. The company reportedly purchased a computer vision startup to help meet that goal. Tesla acquired DeepScale, a Silicon Valley startup that rocesses computer vision on low-power electronics.

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