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They are a dream of researchers but perhaps a nightmare for highly skilled computer programmers: artificially intelligent machines that can build other artificially intelligent machines.Read More
Sergey Levine, Assistant Professor at UC Berkeley has been listed as one of the 35 Innovators Under 35 by MIT Technology Review for his work creating a robot that supervises its own learning. “It’s reverse-engineering its own behavior,” Levine said.Read More
UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence.Read More
Discover advances in deep learning for robotics from leading influencers across research & industry. Learn from experts in reinforcement learning, computer vision, progressive NNs, autonomous learning, human-robotic interaction, imitation learning and much more.
Deep Learning advancements, plus robotic manufacturer innovations will create the next generation of skilled robots impacting our world & increasing automation & efficiency. How can DL help write pioneering robot software and enable new mastery of skills and behavior?
A unique opportunity to interact with industry leaders, engineers & research scientists leading advancements in deep learning for robotics. Learn from & connect with 250+ innovators sharing breakthrough research to create new frameworks for writing robot software.
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