At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Complex assembly tasks involve nonlinear and low-clearance insertion trajectories with varying contact forces at different stages. For a robot to solve these tasks, it requires a precise and adaptive ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

In school, I recall creating numerous spider diagrams during lessons. You’d put your subject in the middle and branch out with related concepts. But I rarely returned to these diagrams, and when I did ...

In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The field of ...