Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We ...
EZMedTech.ai has received a 2026 Global Recognition Award for its healthcare scheduling automation platform that combines ...
Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...
Thanjavur: Growing importance of interdisciplinary research and global partnerships in addressing contemporary scientific ...
Abstract: This study proposes a novel synchronization framework for memristive chaotic systems (MCSs) through an enhanced deep reinforcement learning (DRL) approach, featuring an improved proximal ...
According to God of Prompt on Twitter, a recent visual demonstration by @deliprao illustrates how Reinforcement Learning (RL) operates, highlighting the core cycle of agent-environment interaction, ...
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