Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
9don MSN
Uncovering brain’s secret to stable yet flexible learning – paving the way for human-like AI
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
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