Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Representation of a Latent Dynamics Network. The neural network consists of two sub-networks: the first (represented at the top of the figure) has the function of predicting the evolution of "latent ...

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 ...

This is a preview. Log in through your library . Abstract This paper proposes a tractable model of Bayesian learning on large random networks where agents choose whether to adopt an innovation. We ...

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) ...

"Atlas uses a machine learning (ML) vision model to detect and localize the environment ... There are no prescribed or teleoperated movements; all motions are generated autonomously online. The robot ...