Description
In the Microsoft Research Podcast series What’s Your Story, Johannes Gehrke explores the who behind the technical and scientific advancements helping to reshape the world. A systems expert whose 10 years with Microsoft spans research and product, Gehrke talks to members of the company’s research community about what motivates their work and how they got where they are today.In this episode, Gehrke is joined by Jacki O’Neill (https://www.microsoft.com/en-us/research/people/jaoneil/), director of Microsoft Research Africa, Nairobi (formerly the Microsoft Africa Research Institute, or MARI) in Kenya. O’Neill pitched the idea for the lab after seeing an opportunity to expand the Microsoft research portfolio. She shares how a desire to build tech that can have global societal impact and a familial connection to the continent factored into the decision; how a belief that life is meant to be exciting has allowed her to take big personal and professional swings; and how her team in Nairobi is applying their respective expertise in human-computer interaction, machine learning, and data science to pursue globally equitable AI.To learn more about the global impact of AI, efforts to make AI more equitable, and related topics, register for Microsoft Research Forum (https://researchforum.microsoft.com/), a series of panel discussions and lightning talks around science and technology research in the era of general AI.Learn more:* Jacki O'Neill at Microsoft Research (https://www.microsoft.com/en-us/research/people/jaoneil/?msockid=23b9b9353d686c6e3047ad083c866df5)* Microsoft Research Africa (formerly MARI) (https://www.microsoft.com/en-us/research/group/microsoft-africa-research-institute-mari/)
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