A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Abstract: Identifying cancer accurately from gene expression data proves difficult because genomic datasets contain many features and are hard to understand. This research brings together gene ...

Abstract: In today's manufacturing environments, increasing efficiency, safety, and accuracy depends on adequate operator training while using industrial robotics. Although training operators in their ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...