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 ...
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 ...
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
Abstract: High-definition (HD) maps play an important role in autonomous driving by providing vehicles with localization functionality, environmental information, and support its mission and motion ...
This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...
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