Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...
A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
A new study details the development of a cerebellum-inspired memtransistor engineered from atomically thin molybdenum disulfide.
On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
A high-performance biodegradable pressure sensor has been developed as a key technology for wearable AI health care robotics ...
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Brain-inspired hardware brings faster, lower-power anomaly detection to AI systems
The brain's cerebellum doesn't waste energy analyzing every moment. Instead, it constantly monitors the world for the ...
An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...
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.
Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...
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