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

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

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

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 ...

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

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

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