How does the brain learn from mistakes? A new Duke study reveals a hidden circuit that helps control the learning process.

Iterative Learning Control (ILC) has emerged as a robust and adaptive technique for addressing the intricate challenges posed by nonlinear systems. By capitalising on ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

'Brain-in-a-jar' biocomputers can now learn to control robots Living brain cells wired into organoid-on-a-chip biocomputers can now learn to drive robots, thanks to an open-source intelligent ...