Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
To make the discoveries, the researchers used their AI tool, which they’re calling AnomalyMatch, on nearly 100 million ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...
Morning Overview on MSN
AI uncovers 1,300+ weird anomalies in 30 years of Hubble data
Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.
Zinc doping enables visible-light programming of ferroelectric memristors for neuromorphic computing
Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.
Morning Overview on MSN
Tiny chip optical booster makes light 100x stronger with almost no energy
A tiny optical booster built directly onto a chip is pointing toward a future where light, not just electricity, does the ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
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