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 ...

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

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

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 ...

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

AI-generated deception is best detected not by examining isolated data points, but by analyzing how content behaves over time ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

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 ...

Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and ...