Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Recently, a research team from the Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, developed a fast, multi-platform compatible ...
BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
News-Medical.Net on MSN
New AI-based approach detects fatty deposits inside coronary arteries using OCT images
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
Key market opportunities include the growing demand for point-of-care imaging and AI-guided applications, expanding in emergency, primary, and home settings. Strong growth in Asia-Pacific and ...
Opinion
PCMag on MSNOpinion
Considering a PS5 Pro? I've had it for a year and don't think it's worth $749
The PlayStation 5 Pro's extra (and expensive) processing power remains nebulous more than a year after the system's release.
Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
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