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Recently, the Evo2 bio AI model, jointly developed by Arc Institute and Nvidia, was officially released. This foundational model is based on DNA data from over 100,000 species and aims to deeply decode various complex phenomena in biology. Evo2 can identify patterns in the genetic sequences of different organisms that researchers would typically take years to discover, significantly enhancing the ability to identify disease-related mutations, and can design entirely new genomes comparable to simple bacteria.

Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Tokyo-based startup Sakana AI has introduced two new image generation models — Evo-Ukiyoe and Evo-Nishikie. Image from Sakana AI official These models can be found on the Hugging Face platform, with the main purpose of generating Ukiyo-e style art through text or image prompts. As is known, Ukiyo-e is a traditional Japanese art form popular from the 17th to the 19th century, depicting themes such as historical scenes, natural landscapes, and sumo wrestlers. Sakana AI aims to use AI to bring thi

Evo is a genomic foundation model capable of multi-modal and multi-scale learning. Evo can generate genomic-scale DNA sequences. Evo goes beyond single molecules and short sequences, allowing for the design of synthetic multi-component biological systems. Evo can predict essential genes in bacteria or phages at the whole genome scale.