In a previously unreported RFI, PNNL contractor Battelle said that it was seeking to understand the data center requirements ...

Together, these three visual and methodological perspectives do not merely coexist; they form a holistic constellation.

Throughput, efficiency, and reproducibility are key concerns in laboratory studies. Advances in digital science solutions and automated technologies are driving recent improvements in lab results, ...

From species extinctions to shifting climate patterns, the Data Diversity Lab combines ecology, spatial sciences and collaborative research to tackle some of the planet’s most pressing environmental ...

The UCLA Biomedical Artificial Intelligence Research Lab is using machine learning to improve the lives of patients. Machine learning is a field of AI that learns from existing data to make ...

The Thomas Jefferson National Accelerator Facility will lead a $300 million to $500 million data science computing hub that will make scientific data more accessible to sciences nationwide, the U.S.

TECHKON announced today that its color QA management suite ChromaQA now can generate accurate spectral data for color ...

- Findings support advancement of ZL-6201 into Investigational New Drug (IND)-enabling studies in 2025 as a potential first-in-class and best-in-class antibody-drug conjugate (ADC) treatment for ...

Editor’s note: This story first appeared as a newsletter alongside a roundup of Technical.ly’s best reporting from the week, job openings and more. Subscribe here to get updates on Delaware tech, ...

After testing 24 robot vacuums at CNET Labs to see how well they clean and avoid obstacles, we discovered an unusual relationship. Ajay has worked in tech journalism for over a decade as a reporter, ...