Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Exploring how artificial intelligence and machine learning are redefining security for the evolving Internet of Things ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data ...

Google's new agents aren't chatbots. They're autonomous problem-solvers for the enterprise. Here's how they integrate with ...

Forget Russian hackers—today's most dangerous threats wear employee badges and know where the good snacks are.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Security operations centers (SOCs) built for human-speed threats cannot effectively defend against machine-speed attacks. The ...