A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

New research by Southwest Research Institute (SwRI) and the National Science Foundation's National Center for Atmospheric ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Abstract: This paper introduces a Physics-Informed Koopman Neural Operator (PI-KNO) for augmented dynamics visual servoing of multirotors that integrates Koopman operator theory with neural networks.

In 1992 the QE2 ran aground on a shoal that should have been safely below her keel. This analysis explains under keel clearance, outdated chart data, and the physics of squat that made deep water ...

Abstract: Accurate Remaining Useful Lifetime (RUL) prediction for Insulated-Gate Bipolar Transistors (IGBTs) is critical for power device (PD) reliability and health management, yet challenged by the ...

With the exponential growth in demand for high-speed data transmission, the 5G system infrastructure, despite its impressive peak data rate of 10 gigabits per second, is increasingly inadequate for ...

Explore the advancements in minimal residual disease (MRD) assays, comparing tumor-informed and tumor-agnostic methods for enhanced cancer detection and treatment strategies. Minimal residual disease ...

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A ...

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...