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Chips that run on thermal noise could cut AI image generation energy use 10,000 times

Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...

A Harvard mathematician and an AI model may have cracked an 87-year-old math problem

AI is increasingly being used as collaborators in mathematical research rather than simply as computational tools.

‘hello there the jacobian conjecture is false thanx’: why a tiny social media post has mathematicians rethinking AI

Yet another longstanding mathematical question has been resolved by AI – and it feels a little different from the ones that ...
IEEE

Inverse Reinforcement Learning-Based Asynchronous Filtering for SMIB Power Systems With Stochastic Mode Switching

Abstract: This paper investigates the asynchronous filtering problem for single-machine infinite bus (SMIB) power systems subject to stochastic transmission line faults. The system is modeled as a ...
IEEE

Learning Implicit Social Navigation Behavior Using Deep Inverse Reinforcement Learning

Abstract: This paper reports on learning a reward map for social navigation in dynamic environments where the robot can reason about its path at any time, given agent trajectories and scene geometry.