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 ...

Artificial intelligence continues disrupting established technology categories, and image editing represents one of the ...

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

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

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

What if the earliest signs of skin cancer could be identified sooner — before a dermatology appointment? Researchers at the University of Missouri are exploring how artificial intelligence could help ...

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 ...

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...