A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.
National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
Abstract: Federated learning is a promising approach to training deep learning models over distributed devices without sharing their local datasets. Low Earth orbit (LEO) satellites have the potential ...
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