Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Amazon provides 28% of the internet's cloud infrastructure with its AWS servers, and the company actively seeks new tech to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

AI agents are your new colleagues - how to get the best results ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Solutions, a leading software company that is powering enterprise planning and decisioning models across 30-plus industry verticals with its groundbreaking Digital Brain platform, today announced the ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

Led by Dr. Patrick Treuthardt of the North Carolina Museum of Natural Sciences, the project asks everyday volunteers to ...