The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

The feature, called "Dear Algo," lets Threads users personalize what content they see by publicly posting an AI prompt.

In mathematics, proofs can be written down and shared. In cryptography, when people are trying to avoid revealing their ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The newly proposed state laws, however, take a different approach. The measures in Washington and New York would require 3D ...

Has CDSCO Guidance Changed The Rules? Legal News and Analysis - India - Regulatory & Compliance - Conventus Law ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...