Tag: Machine Learning

A systematic review of 249 papers finds that the most capable self-improving AI agents show critically low safety levels, exposing ...

Repeated pre-diagnostic blood donations from Danish donors reveal that longitudinal metabolite trajectories, particularly declining hippuric acid, predict osteoporosis one to ...

Researchers in South Korea have developed a fully automated deep-learning system that uses supervised contrastive learning across multiphase CT scans ...

Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent ...

A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose their services in real ...

Chinese researchers show that DNA methylation patterns in pulp-free teeth can estimate a person's age with a mean error of ...

An explainable machine learning analysis of 2,612 S&P 1500 firm-year observations finds that company size is the dominant predictor of ...

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...

Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...

A handheld near-infrared spectrometer combined with a new bilinear surface model and covariance-guided sampling predicts five gluten quality indicators in ...

Researchers at a Chinese power grid enterprise have built a recommendation system that combines knowledge graphs with dynamic employee personas ...

Researchers have built a hybrid malware detection framework combining abstract syntax trees, L-moments, graph analysis, and quantum-inspired neural networks that ...

UC Berkeley researchers used AI to build the first open-access database of millions of local ordinances from all 50 states, ...

A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis ...

A new GeroScience study used OCTA imaging and machine learning to show that the microscopic blood vessels at the fingernail ...

Researchers have shown that imposing hard constraints on the direction of input-output effects during neural network training guarantees physically consistent ...

A new review explains how DNA methylation episignatures provide functional evidence of disease mechanism in rare genetic disorders, helping resolve ...

A sweeping review of anode-free sodium metal batteries shows that commercial viability hinges on sustaining near-perfect Coulombic efficiency under lean ...

A machine learning analysis of more than 8,400 Canadian adults with MASLD shows that mortality risk predictors differ sharply by ...

A new review argues that meat freshness monitoring must evolve from isolated laboratory sensors into integrated, digitally connected systems capable ...