Metalearned Neural Memory: Teaching neural networks how to remember
| Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, and Adam Trischler
Memory is an important part of human intelligence and the human experience. It grounds us in the current moment, helping us understand where we are and, consequently, what we should do next. Consider the simple example of reading a book.…
Going meta: learning algorithms and the self-supervised machine with Dr. Philip Bachman
Deep learning methodologies like supervised learning have been very successful in training machines to make predictions about the world. But because they’re so dependent upon large amounts of human-annotated data, they’ve been difficult to scale. Dr. Phil Bachman, a researcher…
AI Residency: Year Two | Meet Megha – Writer, Photographer, Computer Scientist, and AI Resident
Interview with Megha Srivastava | Tell us about yourself: Although I recently graduated with a B.S. in Computer Science from Stanford, I have always viewed my minor in Creative Writing and general love for the creative arts—including musical and visual…
The road less traveled: With Successor Uncertainties, RL agents become better informed explorers
| Sebastian Tschiatschek and Katja Hofmann
Imagine moving to a new city. You want to get from your new home to your new job. Unfamiliar with the area, you ask your co-workers for the best route, and as far as you can tell ... they’re right!…
Awards | ACM SIGCOMM
ACM SIGCOMM 2019 Test of Time Award
SIGCOMM Test of Time Award, 2019: "VL2: A Scalable and Flexible Data Center Network" by Albert Greenberg, James R. Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, Dave A. Maltz, Parveen Patel, and Sudipta Sengupta. from SIGCOMM 2009
Awards | International Conference on Automated Deduction (CADE)
Nikolaj Bjorner and Leonardo de Moura receive Herbrand Award 2019
Nikolaj Bjorner and Leonardo de Moura received the Herbrand Award 2019 for their exceptional and numerous contributions with Z3 to SMT solving, including theory, implementation, and application to a wide range of academic and industrial needs.