Tag: Machine learning

Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and steer through dense environments ...

Researchers at Shanghai Maritime University have developed RPCV, a deep clustering method that uses transformer-based cross-view attention and entropy-constrained prototype ...

A new study of Hamburg's AI surveillance trial shows how Europe's 'third way' compromise absorbs civic criticism while legitimizing the ...

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 ...

Physicists have used a GPT-style transformer to generate silicon tracker hits for the first time, achieving tracking performance comparable to ...

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 ...