Meetings/Workshops on Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning in the United States (USA)

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1
CIBCB 2018 - IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
05 Jun 2018 - 02 Jun 2018 • Saint Louis, Missouri, United States
2
RSS — Robotics: Science and Systems
26 Jun 2018 - 30 Jun 2018 • Pennsylvania, United States
Event listing ID:
1017072
3
AI4I — 2018 First International Conference on Artificial Intelligence for Industries
18 Jul 2018 - 20 Jul 2018 • Laguna Hills, CA, United States
Abstract:
Semantic and cognitive aspects in AI for business and K12 Innovative sales, marketing, service, and operation using artificial intelligence Immersive environments for e-commerce Multimodal interaction Human/agent interaction Business knowledge representation and problem solving Machine and deep learning Behaviour and activity generation Data generation and validation Innovative teaching and learning methods using artificial intelligence Immersive environments and virtual worlds Multimodal interaction Human-virtual user/agent interaction Knowledge representation and problem solving
Event listing ID:
982332
Event website:
4
UAI — Conference on Uncertainty in Artificial Intelligence
06 Aug 2018 - 10 Aug 2018 • Monterey, United States
Event listing ID:
1017021
5
DIMACS/TRIPODS/MOPTA
13 Aug 2018 - 17 Aug 2018 • Lehigh University, Bethlehem, United States
Abstract:
This year the annual MOPTA conference will be combined with an NSF-TRIPODS sponsored three day summer school for doctoral students and the NSF-DIMACS sponsored workshop on Optimization in Machine Learning which is a part of the DIMACS/Simons Collaboration on Bridging Continuous and Discrete Optimization.
Event listing ID:
1033305
6
MOPTA 2018
15 Aug 2018 - 17 Aug 2018 • Bethlehem, PA, United States
Abstract:
This year the annual MOPTA conference will be combined with an NSF-TRIPODS sponsored three day summer school for doctoral students and the NSF-DIMACS sponsored workshop on Optimization in Machine Learning which is a part of the DIMACS/Simons Collaboration on Bridging Continuous and Discrete Optimization.
Event listing ID:
1070533
7
ITU K — 2018 ITU Kaleidoscope: Machine Learning for a 5G Future
26 Nov 2018 - 28 Nov 2018 • Santa Fe, United States
Abstract:
The aim of Kaleidoscope is to identify emerging developments in Information and Communication Technologies (ICTs) and, in particular, areas in need of international standards to support the development of successful products and services. K-2018 calls for original scientific papers addressing advances in research on machine learning and artificial intelligence techniques for future communication networks, covering all aspects of network design, management, implementation and optimization.
Event listing ID:
1044443
8
FUZZ-IEEE — 2019 IEEE International Conference on Fuzzy Systems
23 Jun 2019 - 26 Jun 2019 • New Orleans, LA, United States
Abstract:
FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.
Event listing ID:
895585
9
Machine Learning for Physics and the Physics of Learning
04 Sep 2019 - 08 Dec 2019 • Institute for Pure and Applied Mathematics (IPAM),, United States
Abstract:
Machine Learning (ML) is quickly providing new powerful tools for physicists and other natural scientists to extract essential information from large amounts of data, either from experiments or simulations. This IPAM long program will foster nontrivial research and provoke scientific discussion at the interface between ML and Physics. We aim to go beyond simple fitting of physical models from data and move the discussion to (i) using generative ML methods and active learning in order to generate and design complex and novel physical structures and objects, (ii) obtain models that are physically understable, e.g. by maintaining relations of the predictions to the microscopic physical quantities used as an input, (iii) using ML to learn the physical principles and mathematical structures underlying the data, and (iv) developing new ML methods inspired by methods and models developed in Physics.
Event listing ID:
1065520

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Last updated: 25 May 2018