Tag: Transformer

A hybrid deep learning framework called HLnet combines CNN frequency decomposition with Transformer attention to synthesize T1- and T2-weighted MRI ...

A new multimodal transformer-CNN model called InfoMedex predicts 168 types of drug-drug interactions from molecular structure and uses atom-level attribution ...

Synchrotron light sources can film the invisible. At facilities such as the Advanced Photon Source (APS) at Argonne National Laboratory, ...

A new transformer model called LitGene learns gene function by reading the scientific literature and aligning it with Gene Ontology ...

A new study from King Saud University in Riyadh shows that attention-enhanced deep learning models trained on detailed environmental data ...

Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...

Surveillance cameras watch over schools, streets, prisons, and public squares around the clock, yet the humans assigned to monitor those ...

Researchers at the University of Ottawa have developed a dual-agent reinforcement learning framework that values soccer actions by modeling both ...

A new Transformer-based dual-domain AI framework reconstructs high-quality CT images from sparse projection views, potentially reducing patient radiation exposure while ...

Researchers at VIT-AP University have developed an explainable hybrid deep learning model that classifies knee osteoporosis from X-rays with 91 ...