The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
In today’s newsletter, Paul Veradittakit, managing partner at Pantera Capital, shares his 2026 predictions on crypto, real-world asset tokenization and AI. Programming Note: This will be our last ...
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