Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A mass of writhing maggots on a decomposing murder victim is not a sight for the squeamish, but for some, it is evidence. A maggot’s age and species can give essential information to forensic ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

A new synthesis finds that common epilepsies are driven by thousands of tiny-effect genetic variants, most still ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan ...

Researchers at the University of Missouri announced on March 1, 2026, that they are developing what they describe as a ...

Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...

Over the past decade, however, a wave of technological advances has begun to expand the druggable proteome. These include covalent inhibitors (such as sotorasib), chemical proteomics, and AI-enabled ...