More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

The current closure of the Strait of Hormuz is not fully priced into Brent crude, which trades at $84 despite severe ...

Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ...

This article investigates the classical limit of the Jarzynski equality in quantum systems, specifically using a nonlinear Jaynes-Cummings model representing a superconducting optical cavity with Kerr ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

This paper examines whether Chinese development finance is associated with faster progress toward Millennium Development Goal style targets in low- and middle-income countries. We combine AidData’s ...

Background Little is known about the association between direct pollen exposure and cognitive performance. The aim of our ...

By Dr. Liji Thomas, MD New research suggests sleeping a little longer on weekends may help people who cut their sleep short ...

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute.

Abstract: This article concentrates on the problem of practically time-synchronized tracking control for multi-input multi-output (MIMO) systems with unmatched nonlinearities and input saturations.