Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

A comprehensive review published in Brain Medicine demonstrates that disruptions in gut microbiota composition are closely linked to sleep disturbances across multiple disorders, including insomnia, ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

AI-driven oculomics is transforming eye scans into powerful tools for detecting heart, brain, and metabolic health risks ...

Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...

A research team from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has achieved a breakthrough in brain imaging by developing the world's first technology to ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...