For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

In all, 180 students have received research fellowships this summer, many of whom are undertaking their work on campus, ...

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...