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

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

But this breakthrough doesn't stand alone; recent developments in plastic science and recycling include pyrolysis research to ...

Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.

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

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

The UK government's proposed reforms to policing in England and Wales signal an increase in the use of facial recognition ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...