Everyday wireless signals can be used to spot common respiratory diseases quickly, safely and with high diagnostic accuracy, ...

Automation and AI are revolutionizing the pharmaceutical industry, optimizing technical development and enabling faster, more ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

Abstract: Compressive spectral imaging has garnered significant attention for its ability to effectively enhance the captured spatial and spectral information. Predominant methods, based on ...

Abstract: With the development of Deep Learning as a potent method for separating high-level representations from complex data, numerous fields have seen substantial progress. A crucial task in ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

Spectrum Dynamics Medical has gained US Food and Drug Administration (FDA) clearance for the Veritas.AI Noise Reduction ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...