Tag: Machine learning

A global systematic review of 73 studies finds that artificial intelligence is highly effective at short-term coastal hazard forecasting but ...

Chinese researchers built an interpretable CatBoost-based machine learning model that predicts three-year overall survival in Waldenström Macroglobulinemia patients with an ...

Researchers have developed DES-CMR, an AI model that learns to select and reason over evidence documents end to end while ...

Physicists have shown that a graph neural network can discriminate genuine calorimeter signals from radiation-induced noise far better than fixed ...

A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...

Researchers have developed an end-to-end graph neural network framework that jointly learns expert representations to find both individual experts and ...

Researchers used explainable machine learning to optimize graphene oxide-biochar hybrid nanocomposites that remove lead, chromium, and uranium from contaminated soil ...

A UCLA mathematician has introduced a distance-based representation learning framework grounded in coarse geometry that reads the global shape of ...

A comprehensive review in BioMedical Engineering OnLine examines how superparamagnetic nanoparticles heated by alternating magnetic fields can destroy tumors, the ...

MIT researchers used a data-efficient AI framework to discover solid-state mRNA–lipid nanoparticle vaccine formulations that retained full bioactivity after months ...