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Minor sleep loss can put your job at risk

A new study by University of South Florida researchers found that losing just 16 minutes of sleep can impair job performance, causing workers to experience cognitive issues and struggle with work-life balance. The study suggests workplaces should prioritize promoting employees' sleep to improve focus and reduce errors.

SourceUniversity of South Florida·JournalSleep Health·DateApr 23, 2019

Eyes are faster than hands

A new machine learning-based intention detection method predicts grasping/releasing intentions based on user behaviors, enabling SCI patients to pick-and-place objects. The method utilizes a first-person-view camera and is advantageous in detecting user intentions without requiring person-to-person calibrations.

SourceSeoul National University·JournalScience Robotics·DateJan 30, 2019

Graphene can hear your brain whisper

Researchers have developed a graphene-based sensor that can detect brain activity below 0.1 Hz, unlocking new insights into epilepsy and brain function. This technology could lead to novel multiplexing strategies, enabling unprecedented mapping of low-frequency neural signals.

SourceGraphene Flagship·JournalNature Materials·DateJan 24, 2019

Big data used to predict the future

By eliminating redundant data, researchers have developed a technique that reduces the amount of information needed for accurate predictions. This approach has been successfully applied to various applications, including soil quality prediction, healthcare, and environmental studies.

SourceUniversity of Córdoba·JournalIntegrated Computer-Aided Engineering·DateNov 9, 2018

UTHealth-led study shows much work remains to ensure e-health record safety

A recent UTHealth-led survey revealed that only 19.3% of healthcare organizations in the US and Australia have fully implemented voluntary guidelines for safe e-health record management. The study found significant variation in adherence rates across different domains, suggesting factors such as budget constraints, personnel skill mix,...

SourceUniversity of Texas Health Science Center at Houston·JournalJournal of the American Medical Informatics Association·DateAug 16, 2018

Atomic-scale manufacturing now a reality

Researchers have developed an automated atom fabrication process using machine learning, paving the way for mass production of atom-scale devices. This breakthrough aims to reduce energy consumption by 1000 times and increase computation speed a hundredfold, making it a game-changing technology for the information age.

SourceUniversity of Alberta·JournalACS Nano·DateMay 23, 2018

Dynamic processing in 5G networks

IMDEA Networks Institute and TELCARIA launch project to achieve high performance and dynamic traffic processing in 5G networks. The research aims to separate processing from factors like location, time, scaling, and hardware, enabling scalable and flexible network design.