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Explore the cutting-edge intersection of artificial intelligence and genomics in this Stanford HAI seminar where Assistant Professor Brian Hie presents Evo 2, a revolutionary biological foundation model. Learn how this open-source AI system was trained on 9.3 trillion DNA base pairs from a comprehensive genomic atlas spanning all domains of life, from bacteria to complex organisms. Discover how Evo 2 advances beyond traditional genomic tools by intelligently understanding the immense complexity encoded in genomes, enabling it to predict functional impacts of genetic variations and generate genome-scale sequences with unprecedented naturalness and coherence. Gain insights into how this breakthrough technology could transform biological research by moving beyond current sequencing, synthesis, and editing capabilities toward intelligent composition of new biological systems. Understand the technical foundations of how deep learning models can decode the universal language of DNA and its implications for future biotechnology applications, drug discovery, and synthetic biology.
