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 ...

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 ...
IEEE

AFFS: Adaptive Fast Frequency Selection Algorithm for Deep Learning Feature Extraction

Abstract: As deep learning (DL) continues to advance, effective feature extraction from large-scale data remains crucial for enhancing model performance. To leverage the advantages of the frequency ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
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, ...
IEEE

Designing Machine Learning Algorithms for Feature Extraction and Classification in Dengue Diagnosis

Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...