New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Gather AI has closed funding from former Salesforce CEO's firm Smith Point Capital. Its warehouse AI system doesn't just scan. It seeks out specific data.

IIT Guwahati develops model predicting new glacial lakes in Eastern Himalayas, aiding flood risk management and water resource planning.

Abstract: This article introduces an innovative operational Bayesian neural network (BNN) framework for high-precision joint retrieval of aerosol optical depth (AOD) and aerosol layer height (ALH) ...

Xctopus is a modular continuous learning framework that integrates Knowledge Nodes, Bayesian Neural Networks (BNN), and Transformers under a hierarchical and orchestrated architecture.

Abstract: One of the most popular recent areas of machine learning predicates the use of neural networks (NNs) augmented by information about the underlying process in the form of partial differential ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...

Although deep learning methods have made significant strides in single image sand dust removal, the heterogeneous uncertainty induced by dusty environments poses a considerable challenge. In response, ...

Gut bacteria vastly outnumber human cells and influence everything from digestion to brain chemistry—but how they interact remains largely a mystery. Now, scientists at the University of Tokyo have ...