Fuzzy AI Model Promises Smarter Risk Prediction for Oil and Gas Pipelines
Researchers have developed a hybrid intuitionistic fuzzy deep neural network that markedly improves risk assessment accuracy for onshore oil and ...
Researchers have developed a hybrid intuitionistic fuzzy deep neural network that markedly improves risk assessment accuracy for onshore oil and ...
A Nature Human Behaviour Perspective proposes a four-part framework of comprehension, agency, accountability and proportionality for designing artificial intelligence that ...
A comprehensive new survey maps how machine vision and deep learning are transforming pest detection, yield estimation, robotic harvesting, quality ...
Five UT Dallas assistant professors have won 2026 NSF CAREER awards totaling over $2.8 million to advance resilient networks, novel ...
A new narrative review maps how artificial intelligence, drones, DNA phenotyping and blockchain could transform disaster victim identification while raising ...
A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...
A netnographic study of Reddit's WWE fan communities finds that fans respond to AI-generated storytelling through forensic detection, moral outrage ...
An adaptive artificial intelligence framework slashes the computational cost of screening billion-molecule chemical libraries while experimentally confirming high-quality ligand hits ...
A systematic review drawing on critical social theory finds that AI in education risks deepening global inequality, marginalizing Global South ...
The University at Albany's patent-pending GrantsMate platform uses retrieval-augmented generation and memory-based AI to unify funding discovery, collaborator identification and ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine