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 ...

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

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

For almost a century, psychology and neuroscience researchers have been trying to understand the processes via which humans and other animals acquire new skills or learn to deal with specific ...

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 ...

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 ...

Picture this: A principal peers through the band room window. The band director is not at the podium conducting but silently writing in a chair in the corner. The students talk to each other for ...

The Master’s program with a concentration in Motor Learning and Control (MLC) prepares students for careers related to coaching, physical education, human physiology and therapeutic rehabilitation.