Optimization techniques that don't use Calculus gradients have been studied for decades but none have replaced gradient-based techniques. The two main weaknesses of bio-inspired and geo-inspired ...
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...
AZoRobotics on MSN
Reinforcement Learning for Stable Bipedal Robot Locomotion
The integrated AI approach for bipedal locomotion combines physics-driven planning and reinforcement learning, achieving ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Researchers at the U.S. National Renewable Energy Laboratory (NREL) have developed an AI-based tool that could significantly boost the efficiency and reduce the environmental impact of future wind ...
A new technical paper titled “DiffChip: Thermally Aware Chip Placement with Automatic Differentiation” was published by researchers at MIT and IBM. “Chiplets are modular integrated circuits that can ...
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