This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Abstract: Underwater visuals undergo various complex degradations, inevitably influencing the efficiency of underwater vision tasks. Recently, diffusion models were employed for underwater image ...

Artificial Intelligence is no longer a niche field limited to computer science labs. From search engines and recommendation ...

Abstract: Imitation learning is a critical approach for robots to acquire skills by mimicking human behavior. However, traditional imitation learning frameworks often exhibit poor action prediction ...

Science and technology create new knowledge and tools; innovation translates that knowledge into products and services; and digital transformation accelerates diffusion across society, unlocking ...

Science and technology create new knowledge and tools; innovation translates that knowledge into products and services; and digital transformation accelerates diffusion across society, unlocking ...

CNBC-TV18, in partnership with HCLTech, convened a closed-door evening reception that brought together senior government officials and industry leaders for a focused conversation on India’s AI ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

This repo contains PyTorch model definitions, pre-trained weights and training/sampling code for our paper exploring diffusion models with transformers (DiTs). You can find more visualizations on our ...