Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
In just three months, the crew of three young scientists overcame a swarm of challenges to achieve this groundbreaking advancement in robotic autonomy and space operations. “The APIARY team’s ...
What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
ADELPHI, Md.-- Multi-domain operations, the Army’s future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the ...
The FelineVMA Launches Positive Reinforcement Training Educational Toolkit BRANCHBURG, NJ, UNITED STATES, January 8, ...
Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback