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

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

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

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

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