A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

Applications are invited for recruitment of nine vacant teaching and non-teaching positions or career in TRTC Guwahati Assam in 2026. Tool Roo ...

Regardless of unique business goals, every service provider and enterprise relies on new technologies to help them achieve their intended business outcomes, like growing revenue, reducing costs, and ...

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...