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1
Interacting Particle Systems: Analysis, Control, Learning and Computation
06. Mai 2024 - 10. Mai 2024 • Providence, RI, Vereinigte Staaten
Veranstalter:
Institute for Computational and Experimental Research in Mathematics (ICERM)
Zusammenfassung:
Systems of interacting particles or agents are studied across many scientific disciplines. They are used as effective models in a wide variety of sciences and applications, to represent the dynamics of particles in physics, cells in biology, people in urban mobility studies, but also, more abstractly in the context of mathematics, as sample particles in Monte Carlo simulations or parameters of neural networks in machine learning. This workshop aims at bringing together researchers in analysis, computation, inference, control and applications, to facilitate cross-fertilization and collaborations.
Kontakt:
Email: info@icerm.brown.edu
Eintrags-ID:
1591252
2
MODSIM World 2024 — 16th International MODSIM World Conference
20. Mai 2024 - 22. Mai 2024 • Norfolk, Vereinigte Staaten
Veranstalter:
National Training & Simulation Association
Zusammenfassung:
MODSIM will bring together M&S leaders focused on novel solutions and applications designed to innovate our future world. This unique, multi-disciplinary, and international conference and exposition features three presentation tracks, focusing on M&S communities of practice: Industry, Defense, and Training & Education. These main tracks include technologies, approaches, and solutions in numerous areas including Engineering, Medical Simulation, Data Analytics, Artificial Intelligence, Machine Learning, Extended Reality, Gamification, and Visualization.
Kontakt:
Event Organizer;     Email: info@modsimworld.org
Themen:
Manufacturing, Transportation, Aerospace, Energy, Infrastructure, Smart Cities, Artificial Intelligence, Machine Learning, Health Systems and Services, Training, Education, Gamification, Social Systems, Entertainment and Arts, Augmented- Virtual- and Mixed-Reality, Hospitality Services, National and International Defense, Cybersecurity, Data Analytics, State and Local Public Safety
Eintrags-ID:
1613853


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