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AI teaches itself and outperforms human-designed algorithms
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL adapts ...
AgiBot is using AI-powered robots to do new manufacturing tasks. Smarter machines may transform physical labor in China.
AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.
Tech Xplore on MSN
AI-based system successfully suppresses shipboard oil fires autonomously
A next-generation fire suppression system capable of autonomously detecting oil fires aboard naval vessels and precisely ...
The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...
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