Research team proposed DeepSwarm, a collective deep learning framework integrating swarm intelligence for bidirectional optimization of data acquisition and processing. It improves accuracy and ...

Work on deep residual learning is most-cited since 2000 and may become the top of the all-time list within five years, Nature analysis finds The most-cited scientific paper of the 21st century was ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

The Data Science and AI Institute, in collaboration with KSAS, continues its series of symposia exploring the intersection of AI with the humanities, natural sciences, and social sciences on Thursday, ...

Ocean observation today is confronted with significant challenges, including limited adaptability to complex environments, low efficiency in handling ...

Explore new advancements in lung disease treatment, focusing on idiopathic pulmonary fibrosis and its innovative therapies.

Mohamed Zareer (right) with Rastko Selmic: “We designed our research to be simple and to have as much ... They created ...

It has been around 15 years since the Centre for Cellular And Molecular Platforms or C-CAMP was set up in Bengaluru as an initiative of the Department of Biotechnology, Government of India, to ...