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 ...

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

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 ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. Effective management of the various moving pieces ...

'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 ...

The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...

QuantrolOx, a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company, which was co-founded by Oxford ...