首页|A first, physical system learns nonlinear tasks without a traditional computer p rocessor
A first, physical system learns nonlinear tasks without a traditional computer p rocessor
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can performmachine learning. For ins tance, artificial neural networks are capable of learning complex language andv ision tasks, but the process of training computers to perform these tasks is slo w and requires a lot ofpower.
AstronomyCyborgsEmerging Technologie sEngineeringMachine LearningPhysicsUniversity of Pennsylvania
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