
In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.
Get the inside, first-hand account of Microsoft’s strategy to scaled quantum computing. In this series, you will hear directly from Microsoft’s Azure Quantum scientists and leaders about the path to quantum at scale and how…
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Jan P. Unsleber, Hongbin Liu, Leopold Talirz,…
Microsoft Research Summit 2022, held October 18-20, 2022, explores what’s next for technology and humanity.
Do you want to be part of the quantum revolution in computing? Put curiosity and theory into practice and join our vibrant Microsoft Quantum team as an intern! During the 12-week internship, you will work…
Dr. Chetan Nayak, Distinguished Engineer of Quantum at Microsoft, met with leaders in the Quantum industry to discuss Microsoft’s recent hardware progress in July 2022. In this session, Dr. Nayak presents the measurements and simulations…
GFlowNets are instances of a larger family of approaches at the intersection of generative modeling and RL that can be used to train probabilistic inference functions in a way that is related to variational inference…