To achieve near-zero training error in a classification problem, the layers of a feed-forward network have to disentangle the manifolds of data points with different ...

Reinforcement learning (RL)-based control in tokamaks offers improved flexibility for nuclear fusion, but typically depends on simulators that can accurately evolve the high-dimensional plasma state.

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

In an age of tightening budgets and increasing needs for learning, training, and development, HR professionals are forced to get creative about the programming they provide. Especially because there’s ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI Institute) ...

Hyundai Motor Group has unveiled the process by which its subsidiary Boston Dynamics’ humanoid robot ‘Atlas’ learned soccer ...