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 ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

"This is a powerful demonstration of how AI can enhance the scientific return of archival datasets." The post AI Discovers Hundreds of Anomalies in Archive of Hubble Images appeared first on Futurism.

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 ...

Our current approach to mental health labelling and diagnosis has brought benefits. But as a practising doctor, I am concerned that it may be doing more harm than good ...

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 ...

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.

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...