Reinforcement Learning (RL) agents must learn to make useful decisions through action and observation alone. To be effective problem solvers, RL agents must efficiently explore vast environments, assign credit from delayed feedback, and generalize to…
Photonic-chip-based soliton microcombs, Prof Tobias Kippenberg Optical frequency combs provide equidistant markers in the IR, visible and UV and have become a pivotal tool for frequency metrology and are the underlying principle of optical atomic…
Find out what it’s like to be an intern at the Microsoft Research lab in Cambridge, UK. Find out more and apply at: https://aka.ms/MSRCambridgeIntern
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes. Find out more at: https://aka.ms/MSRCambridge
It’s not uncommon for us to hear that the Z3 theorem prover is magical, but the frequency of such complimentary feedback doesn’t make it any less unexpected—or humbling. When we began work on Z3 in…
Stefanie Jegelka is an X-Window Consortium Career Development Associate Professor in the Department of EECS at MIT. She is a member of the Computer Science and AI Lab (CSAIL), and an affiliate of IDSS and…
A Short Introduction to DIMACS, Fred Roberts, DIMACS Fred Roberts gives an overview of the DIMACS center founded in 1989, after a nationwide competition, as an NSF Science and Technology Center (STC) with the theme…
