Arc’s biology and machine learning researchers are working with NVIDIA’s engineers to scale the potential of AI models to design, predict, and understand biology. This partnership will build on Arc’s previous work with the Evo model, which is capable of both prediction and design at the level of DNA and across RNA and proteins in single-celled organisms.
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Created by the labs of Brian Hie, Arc Innovation Investigator and Stanford Assistant Professor of Chemical Engineering, and Patrick Hsu, Arc Core Investigator and UC Berkeley Assistant Professor of Bioengineering, Evo was first introduced in a preprint earlier this year and has now been published in Science. Since the preprint was posted, the researchers have used Evo to design a functional CRISPR system unknown in nature, showing how this deeper understanding of biological sequences can yield new molecular tools.
Continue readingDave Burke is joining us today as Chief Technology Officer. He will lead our engineering efforts across computational technology development and machine learning to progress our understanding of biology.
Continue readingArc Institute, the research organization pioneering a new model for pursuing scientific breakthroughs, announced today the addition of seven leading scientists to its Investigator Program and Ignite Award cohorts.
Continue readingToday, Arc Institute, the scientific research organization pioneering new models for scientific discovery and translation, is announcing the creation of its Scientific Advisory Board and its first two Scientific Advisors, as well as the appointment of two new members to the Arc Board of Directors.
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