Tech Xplore on MSN
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.
The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.
MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results