A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Vladimir Sainciuc  For decades, automotive recycling has been treated as a yard-based business: buy the vehicle, dismantle it ...

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 ...

Force-feedback bilateral teleoperation—the technology that lets human operators feel and manipulate distant objects via a robot—has accelerated markedly in the past decade. In the comprehensive survey ...