AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
Abstract: The growing incidence of mobile spyware attacks presents serious threats to user privacy and data security in today's digital environment. It is crucial to identify such spyware, especially ...
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 ...
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 ...
An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...
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