Archive for the ‘Congress’ Category

IAAI-21 Call for Participation

  ******************************************************************* IAAI-21, February 4-6, 2021 Call for Papers: https://aaai.org/Conferences/AAAI-21/iaai-21-call/ Submission Site: https://easychair.org/conferences/?conf=iaai21 ******************************************************************* The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21) will be held virtually February 4-6, 2021 in parallel with AAAI-21. IAAI-21 is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is […]

IEEE Symposium on Computational Intelligence for Engineering Solutions: deadline August 7!

  IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES)   http://ieeessci2020.org/symposiums/cies.html   Part of 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE 1-4 December 2020, online this year, ieeessci2020.org   Deadline is August 7, there will be no extensions   Developments in Engineering are characterized by a growing complexity, which is balanced by an […]

Extension of submission deadlines for SIAM CSE21

Submit now! The submission deadlines for CSE21 have been extended by 3 weeks; no additional extensions are expected. For minisymposia submissions, please note the change in format for the number of talks per minisymposia.   Updated deadlines: August 10, 2020: Minisymposium Proposal Submissions September 7, 2020: Minisymposium Presentation Abstracts September 21, 2020: Poster Presentation Abstracts; […]

IEEEXtreme 14.0 Team Registration is Now Open

Make an Impact with IEEEXtreme 14.0!       Register Today!      Hi Maria, Registration for the IEEEXtreme Competition is now open! IEEEXtreme is a global, virtual challenge in which teams of IEEE Student Members – advised and proctored by an IEEE member, and often supported by an IEEE Student Branch – compete in […]

neural network-related talk

September 22 talk will be on the use of neural networks: Data Driven Governing Equations Recovery with Deep Neural Networks Dongbin Xiu Department of Mathematics The Ohio State University We present effective numerical algorithms for recovering unknown governing equations from measurement data. Upon recasting the problem into a function approximation problem, we discuss the importance […]

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