A new technology developed at MIT enables scientists to label proteins across millions of individual cells in fully intact 3D tissues with unprecedented speed, uniformity, and versatility.

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...

With tests of humanoid bots and new developments in military applications, the year ahead will intrigue even the skeptics.

Sakana found that self-adaptive models can modify their weights during inference to adjust behavior to new and unseen tasks.

As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.

A technique called “test-time compute” can improve how AI responds to some hard questions, but it comes at a cost ...

Meta AI has announced LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges ...

A string of startups are racing to build models that can produce better and better software. They claim it’s the shortest ...

Nobel Prize winner Demis Hassabis thinks human trials will happen soon Clinical trials of the first drugs designed with the ...

Explore 5 free university courses on machine learning from MIT, Harvard, Stanford and the University of Michigan.

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a ...