A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...
A new study analyzes fMRI data from 772 people to uncover 17 new language regions across the cerebellum and hippocampus.
A framework for understanding the modern software industry by mapping it into eight distinct city-states, each with its own ...
Summary: Researchers tracked brain activity patterns in participants before and after they watched multiple episodes of a ...
Researchers at ETH Zurich have developed a method that uses a single ion to detect electromagnetic fields above a surface and ...
When NASA's Cyclone Global Navigation Satellite System, or CYGNSS, launched into orbit in 2016, none of the University of ...
Much like camera settings—filters, flashes and focus—affect what we notice in a final photo, the way scientists measure ...
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