Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...

Deep Algorithm, an AI-powered cybersecurity startup, has raised Rs 16 crore in a pre-Series A funding round led by Unicorn India Ventures. The round also saw participation from SB Investment (UAE), ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

This promises to be one of the deepest NBA drafts in years. Illustration: Demetrius Robinson / The Athletic; Photos of Cameron Boozer, Darryn Peterson and Kingston Flemings: Ed Zurga, Michael Reaves ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Abstract: This paper focuses on the research of core algorithms in intelligent education systems. The intelligent recommendation algorithm utilizes Python's pytorch library to build neural networks, ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Conclusions: Our findings demonstrate that compared with unimodal approaches, an integrated deep learning model incorporating both imaging and clinical data has greater diagnostic accuracy for MMP in ...