Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, to advance reinforcement learning.
The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
21don MSN
Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "Model-Free ...
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