Konferenzen zum Thema Software-Agenten und künstliche Intelligenz in Kanada

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1
CCP2021 Conference — Canadian Channel Partners 2021 Conference
19. Jan 2021 - 20. Jan 2021 • Toronto - virtual and onsite, Kanada
Veranstalter:
Xeo Marketing & Strategic Consultancy Inc.
Zusammenfassung:
Canadian Channel Partners (CCP) Conference, hosted by Xeo Marketing, brings Technology Vendors and Channel Partners across Canada and the US under an umbrella to share knowledge, discover opportunities and network to form strategic partnerships. CCP2021, taking place on Jan 19 & 20 both virtual and onsite, focuses on pushing channel growth through the COVID barrier via a series of insightful keynotes, an interactive 3D virtual platform and a safe in-person networking environment at the Westin Harbour Castle, Toronto. In the upcoming event, CCP2021 has supercharged the 2-day conference with insightful keynotes & workshops that help grow MSP business. Besides keynotes on Unified Communications, Cyber Security, SD-WAN, etc., the event is joined by top analysts from Forrester to discuss Channel Trends in 2021, and US/Canadian government representatives who will host workshops on winning IT government projects.
Kontakt:
Marketing Manager;     Tel.: [647 675 8850];     Email: jack.t@xeo.marketing
Themen:
MSP, VAR, Channel Partners, Technology, Cybersecurity, Unified Communications, Cloud, Artificial Intelligence, Blockchain
Eintrags-ID:
1390051
2
AAAI-21 — Thirty-Fifth AAAI Conference on Artificial Intelligence
02. Feb 2021 - 09. Feb 2021 • Vancouver, Kanada
Veranstalter:
Association for the Advancement of Artificial Intelligence (AAAI)
Zusammenfassung:
The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.
Eintrags-ID:
1359334
3
Optimization under Uncertainty: Learning and Decision Making
07. Feb 2021 - 12. Feb 2021 • Banff Centre in Alberta, Kanada
Veranstalter:
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
Zusammenfassung:
Uncertainty pervades all areas of the natural sciences, engineering, and operations research. Such uncertainty may arise due to noisy measurements, model ambiguity, or unknown parameters. Moreover, optimal decision making under uncertainty is crucial to arrive at reliable solutions, which are resilient to catastrophe. Despite the inherent need to do so, including uncertainty in our models in the form of random parameters leads to a veritable explosion in the dimension of the resulting optimization or control problems; especially for models of complex engineering systems. Recent advances in the fields of uncertainty quantification and machine learning present exciting opportunities to help combat this curse of dimensionality. This workshop is intended is to join researchers in optimization under uncertainty, uncertainty quantification, and machine learning, whose work stands to benefit from cutting-edge machine learning techniques for intricate, data-driven models of real-world phenomena.
Eintrags-ID:
1364062
4
Workshop on Neural Networks and Deep Learning
07. Jun 2021 - 11. Jun 2021 • The Fields Institute –Toronto, Ontario, Kanada
Veranstalter:
The Fields Institute for Research in Mathematical Sciences
Zusammenfassung:
Scheduled as part of the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis
Eintrags-ID:
1385907
5
The Summer Institute on AI and Society
21. Jul 2021 - 23. Jul 2021 • Western University, Kanada
Veranstalter:
The Fields Institute for Research in Mathematical Sciences
Zusammenfassung:
The goal of the AI Institute on AI and Society is to bring together a diverse group of thoughtful individuals at different career stages to explore some of the most critical questions we face as a society around the development and use of Artificial Intelligence. Potential impacts of AI range from specific, near-term issues such as concerns related to transparency and accountability, algorithmic bias and equity, and liability for autonomous vehicles and other automated physical systems, to longer-term disruptions to employment, economic structure, government functioning and geopolitics. Our goal is to facilitate the production of impactful research outputs that cross disciplinary boundaries of mathematics, computer science, engineering, law, sociology, philosophy, history, and art.
Eintrags-ID:
1385950


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Stand vom 18. November 2020