Description
Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements. In this episode, Senior Behavioral Science Researcher Lev Tankelevitch (https://www.microsoft.com/en-us/research/people/t-levt/) joins host Gretchen Huizinga to discuss “The Metacognitive Demands and Opportunities of Generative AI (https://www.microsoft.com/en-us/research/publication/the-metacognitive-demands-and-opportunities-of-generative-ai/).” In their paper, Tankelevitch and his coauthors propose using the scientific study of how people monitor, understand, and adapt their thinking to address common challenges of incorporating generative AI into life and work—from crafting effective prompts to determining the value of AI-generated outputs. To learn more about the paper and related topics, register for Microsoft Research Forum (https://aka.ms/researchforum/), a series of panel discussions and lightning talks around science and technology research in the era of general AI.Read the paper
Research manager Karin Strauss and members of the DNA Data Storage Project reflect on the path to developing a synthetic DNA–based system for archival data storage, including the recent open-source release of its most powerful algorithm for DNA error correction.Get the Trellis BMA code: GitHub -...
Published 11/19/24
The efficient simulation of molecules has the potential to change how the world understands biological systems and designs new drugs and biomaterials. Tong Wang discusses AI2BMD, an AI-based system designed to simulate large biomolecules with speed and accuracy.Read the paperGet the code
Published 11/14/24