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 ...

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 ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Editorial Note: Forbes Advisor may earn a commission on sales made from partner links on this page, but that doesn't affect our editors' opinions or evaluations. There is a lot of buzz around ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...