Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Abstract: The spatiotemporal dynamics of traffic forecasting make it a challenging task. In recent years, by adapting to the topology of traffic networks where road segments serve as nodes, graph ...
Spectrum Dynamics Medical has gained US Food and Drug Administration (FDA) clearance for the Veritas.AI Noise Reduction ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
A research team led by Prof. Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
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 ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
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