Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

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

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

How are other teams really using artificial intelligence tools? In a new series, we explore AI use cases in law.

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.