Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

To make the discoveries, the researchers used their AI tool, which they’re calling AnomalyMatch, on nearly 100 million ...

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 ...

A US robotics company has quietly assembled what amounts to a colossal digital forest, training an artificial intelligence ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...

NCII includes a wide range of behaviors, from the sharing of private sexual images without consent to threatening or coercing ...

A research team has successfully demonstrated the world's first gene-editing treatment for Leber's hereditary optic ...