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 ...

After a routine code rejection, an AI agent published a hit piece on someone by name

AI agents lack independent agency but can still seek multistep, extrapolated goals when prompted. Even if some of those prompts include AI-written text (which may become more of an issue in the ...
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 ...
IEEE

Learning Expert-Level Racing Strategies via Scheduled Cost Functions in Model Predictive Control

Abstract: In racing sports, driving strategies necessitate meticulous control and optimal utilization of vehicle dynamics. Model predictive control (MPC) has emerged as an effective approach for ...