Andreas Malm and Wim Carton have an enemy, and it’s not “climate deniers.” These authors acknowledge that the original Big ...

Demonstrating and applying control theory has long presented a complex challenge, encompassing a broad range of engineering ...

Time travel has shifted from pure fantasy to a serious, if highly constrained, topic in modern physics. The equations that ...

Cirrus Logic Inc. CRUS has taken a major step into the automotive realm with the launch of its CS40L51, CS40L52 and CS40L53 closed-loop haptic driver family. The latest innovations are the company’s ...

AUSTIN, Texas--(BUSINESS WIRE)--Allen Control Systems (ACS), a leader in autonomous precision robotics, today announced the release of Treillis, its next-generation Hardware-in-the-Loop (HIL) test ...

Neuropsychiatric disorders, such as depression and ADHD, remain a global health burden, with current treatments often limited by individual variability and insufficient long-term efficacy. In a ...

Objective To compare the duration of mechanical ventilation between preterm infants receiving closed-loop automated oxygen control (CLAC) or manual oxygen control. Design Randomised controlled trial.

From effective rain-enhancing technology to a long, secretive history of trying to weaponize storms, there’s fertile ground for misinformation. It was October 2024, and Hurricane Helene had just ...

Spending more time in glucose range could help reduce adverse pregnancy outcomes, but available closed-loop insulin delivery systems are not customized to pregnancy-specific needs. In a randomized ...

The federal government shutdown means most roads and trails in the Great Smoky Mountains National Park are open but some services visitors expect will not be available. One of the most important ...

Please provide your email address to receive an email when new articles are posted on . The potential for deep brain stimulation rests in the ability for accurate location of biomarkers. Personalized ...

Abstract: Learning is central to intelligent control, particularly in real-world scenarios with complex time-varying constraints. This paper proposes an adaptive neural network-based control method ...