Nebius has secured major contracts with hyperscalers Meta and Microsoft. Read how these deals and others deliver robust ...

Confirmation bias is defined as the tendency to favour information that aligns with existing beliefs and shapes what we ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat ...

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

In a unique class hosted at the Smithsonian Conservation Biology Institute, early-career ecologists learned to apply emerging ...

By: Max Surkiz, Founder, Navetix Artificial intelligence is often framed as a race for models, chips, and compute. But as AI ...

Preparing enterprises and their teams for AI requires a fundamental rethink of employee training, hiring and job design. Reducing the skill gap and supporting employee skill development and ...

Anything that expands quickly can attract bubble accusations, and the market for cloud services in an AI age doesn’t look much different.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...