A massive neural network connects cameras, a robot arm, and a suction gripper in Covariant’s logistics system. By Evan Ackerman. Covariant.ai spent almost a year talking with literally hundreds of different companies about how smarter robots could potentially make a difference for them.
These companies represent sectors that include electronics manufacturing, car manufacturing, textiles, bio labs, construction, farming, hotels, elder care—”pretty much anything you could think about where maybe a robot could be helpful,” Pieter Abbeel tells us.
“People often say neural networks are just black boxes and if you’re doing something new you have to start from scratch. That’s not really true … Their strength comes from the fact that you can train end-to-end, you can train from input to the desired output”.
This is a very interesting interview for anybody into automation, neural networks, robotics and deep learning. Excellent!
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