Nanowerk

AI reads heat: turning infrared images into instant thermal conductivity measurements

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

How AI is Transforming Document Processing and PDF Workflows

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

From edge devices to enterprise security, an engineer’s vision for trustworthy machine learning is setting new benchmarks

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 ...

AI can predict your future salary based on your photo, boffins claim

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 ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

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

AI Enabled Predictive Toxicology Market Forecast to Surpass USD 4.9 Billion by 2033

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

Research on intelligent fracturing parameter optimization method based on deep learning and construction curve feature extraction

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

$3K for an Espresso Machine? I’d Pay It for the New Breville Because of These Three Features.

I’m a hardened espresso snob with almost 20 years of experience testing espresso machines—and I shell out a fair amount of money for my vice. Yet when I found out that Breville’s latest—the Oracle ...
IEEE

Gram–Schmidt Methods for Unsupervised Feature Extraction and Selection

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...