Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Meta's algorithm is optimized to spend your budget, not to protect your margins. The stores winning on paid social in 2026 are the ones feeding the algorithm ...

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control systems in energy management, quantum computing, and autonomous fleet ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

With the increasing complexity of underwater operations, remotely operated vehicles systems face the dual challenges of multi-source interference and component failures in unknown environments. The ...

ABSTRACT: Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Traditional predictive models, such as Apfel scores, rely on linear assumptions and limited ...

Abstract: The conventional model predictive current control (MPCC) for permanent magnet synchronous motor (PMSM) is affected by the issues of stator current fluctuation and control performance ...

Abstract: This paper considers risk-sensitive model predictive control for stochastic systems with a decisiondependent distribution. This class of systems is commonly found in human-robot interaction ...