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 ...
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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 ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...
The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...
As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...
“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...
Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.
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