What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

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

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with ...

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Data integration and management giant Databricks has acquired Quotient AI, bringing continuous evaluation and reinforcement learning to its Genie and Agent Bricks AI tools - as well as Genie Code, a ...

The DNA foundation model Evo 2, first released in February 2025 as a preprint, is now published in the journal Nature.

Finalists in the Society for Science and Regeneron $1.8 million science competition are increasingly turning to machine learning, and organizers are balancing innovation with misuse.