Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Tech Xplore on MSN
New light-emitting artificial neurons could run AI systems more reliably
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
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 ...
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.
Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
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