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 ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Tech Xplore on MSN
Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered ...
IAEA experts assess damages to a building after a devastating 7.7 magnitude earthquake in Myanmar in March 2025 (Photos: G. M-Seminario/IAEA).
A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...
Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results