Reveals key productivity benchmarks, workforce trends, and actionable insights to help enterprises optimize performance ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

Sudhir Kumar Rai, Director of Data Science at Trellix, drives responsible generative AI innovation for enterprise systems, ...

Engineers at the University of Pennsylvania have developed LIBRIS, an automated microfluidic platform that dramatically ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

cDepartment of Obstetrics and Gynaecology, Skåne University Hospital (SUS), Lund University, Sweden dDepartment of Women's and Children's Health, Karolinska Institute, Department of Pelvic Cancer, ...