A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...
Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Madras High Court to leverage AI for efficient document retrieval in a commercial dispute, enhancing legal research and ...
Radar can watch heartbeats without touching the body, but walls & moving objects can hide signals. A methods make tracking more accurate.
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting state-of-the-art local solvers for k-quasi-clique and k-plex without altering their search ...
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...
Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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