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 ...

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 ...

Academics claim that personality traits inferred using AI photo analysis can predict how depicted individuals will fare in the labor market. They emphasize that they don't advocate doing so because ...

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...

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

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

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...

3D reconstruction of indoor environment using the best (Feature Extractor+ Feature Matcher) combination validated by the end-to-end spatial density and positional accuracy of the generated 3D point ...