Join us in Phoenix for 13 Conferences Plus Workshops
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海神app官网: Conference on Learning Theory 蜂鸟ⅤPNapp Teaching-Focused Academic Careers Workshop e-Energy'19: The 10th ACM Conference on Future Energy Systems EC'19: The 20th ACM Conference on Economics and Computation HPDC'19: The 28th International Symposium on High-Performance Parallel and Distribution Computing ICS'19: The 33rd ACM International Conference on Supercomputing ISCA'19: The 46th International Symposium on Computer Architecture ISMM'19: The 2023 ACM International Symposium on Memory Management IWQoS'19: IEEE/ACM International Symposium on Quality of Service LCTES'19: The ACM International Conference on Language Compilers, Tools and Theory of Embedded Systems PLDI'19: The 40th ACM SIGPLAN Conference on Programming Language Design and Implementation SIGMETRICS'19 (co-located with IFIP Performance): International Conference on Measurement and Modeling of Computer Systems SPAA'19: The 31st ACM Symposium on Parallelism in Algorithms and Architecture STOC'19: The 51st ACM Symposium on the Theory of Computing |
FCRC 2023 assembles a spectrum of affiliated research conferences and workshops into a week-long coordinated meeting held at a common time in a common place. This model retains the advantages of the smaller conferences, while at the same time, facilitates communication among researchers in different fields in computer science and engineering. Each morning, FCRC features a joint plenary talk on topics of broad appeal to the computing research community.
The technical program for each affiliated conference is independently administered, with each responsible for its own meeting's structure, content, and proceedings. To the extent facilities allow, attendees are free to attend technical sessions of other affiliated conferences being held at the same time as their "home" conference.
*Tutorials and 1-day workshops do not permit cross attendance unless noted.
*All attendess must register for FCRC and at least one other conference, workshop, or tutorial.
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Watch the Turing Lecture jointly delivered by Geoffrey Hinton and Yann LeCun, 2018 ACM A.M. Turing Award co-recipients (with Yoshua Bengio) for their conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
Hinton's talk,"The Deep Learning Revolution" and LeCun's talk, "The Deep Learning Revolution: The Sequel," were presented at FCRC on June 23; you can watch a recording of the livestream here.
The recipients of the Turing Award are 海神app官网, Professor at the University of Montreal and Scientific Director of Mila (Quebec’s Artificial Intelligence Institute) and IVADO (the Institute for Data Valorization), and Co-director (with Yann LeCun) of CIFAR’s Learning in Machines and Brains program; Geoffrey Hinton, VP and Engineering Fellow of Google, Chief Scientific Adviser of The Vector Institute and a University Professor Emeritus at the University of Toronto; and Yann LeCun, Silver Professor of the Courant Institute of Mathematical Sciences at New York University and VP and Chief AI Scientist at Facebook.
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