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

The ambitious expedition aims to fill data gaps about the glacier-sea boundary to predict when the world might tip into a ...

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

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

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

We must show the same desire in consumers to truly understand what makes them tick, what their rituals and pain points are, ...

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 researcher at the Museum of Natural Sciences is using volunteer scientists to probe the universe for a mysterious type of ...

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

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 ...