When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
IEEE

Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback

Abstract: Accurate motion control in the face of disturbances within complex environments remains a major challenge in robotics. Classical model-based approaches often struggle with nonlinearities and ...
Hackaday

Making A Functional Control Panel Of The Chernobyl RBMK Reactor

Control panels of a pre-digitalization nuclear plant look quite daunting, with countless dials, buttons and switches that all ...
IEEE

State-Attracted Functions-Based Trajectory Planning and Tracking Control for Uncertain Robotic Systems Based on a Human-Inspired Vector Field

Abstract: This article proposes a state-attracted function-based trajectory planning and tracking control (SAF-TPATC) method for robotic systems that achieves simultaneous trajectory planning, ...