Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

The MarketWatch News Department was not involved in the creation of this content. Houston, TX, April 02, 2026 (GLOBE NEWSWIRE) -- Houston families looking for something meaningful to do on Saturday, ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Remote access isn’t a new problem. VPN risk isn’t a new conversation. What’s new, and what the Zscaler ThreatLabz 2026 VPN Risk Report makes unmistakably clear, is the speed at which the threat ...