The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across ...

A new study presents “Evo” – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo’s ability to ...

This illustration depics how Evo 2 learns the genetic language shared by all living things, from woolly mammoths to bacteria. The DNA foundation model Evo 2, first released in February 2025 as a ...

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that exactly match user-drawn shapes using generative AI. The generative design ...

In a recent study published in the journal Nature, researchers at the Arc Institute describe the development and advantages of “Evo 2”. Evo 2 is a novel biological foundation model trained on a ...

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a ...

Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...

DNA is often compared to a written language. The metaphor leaps out: Like letters of the alphabet, molecules (the nucleotide bases A, T, C and G, for adenine, thymine, cytosine and guanine) are ...