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 ...
PharmiWeb

Spatial Biology Market Size, Share, Analysis, Revenue, Price, Sales Analysis Report 2030

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

Spotify’s latest feature hands you control of its algorithm

If you’ve ever felt frustrated by Spotify‘s algorithm recommending songs that don’t match your taste, there’s some good news. The streaming giant is finally giving you a way to take control of its ...
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 ...
Frontiers

Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features

1 Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, State Key Laboratory of Druggability Evaluation ...
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, ...