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

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

Academics look at problematic algorithm to inform regulatory discussion A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...

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

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

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

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.