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X-WR-CALDESC:évènements pour IVADO
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DTSTART:20180311T070000
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DTSTART:20181104T060000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180514
DTEND;VALUE=DATE:20180622
DTSTAMP:20260418T015857
CREATED:20180416T021748Z
LAST-MODIFIED:20180416T021748Z
UID:9112-1526256000-1529625599@vieux.ivado.ca
SUMMARY:AI For Social Good Lab
DESCRIPTION:Carrying on the success of the AI for Social Good Summer Lab held by the McGill University Office of Innovation in 2017 – OSMO\, McGill University & the Montreal Institute for Learning Algorithms will be running a 6-week 2018 Lab that teaches technical concepts in machine learning\, in addition to digital product development\, design and business development tactics applied all with the goal of solving a social problem. It is our belief that AI should drive innovation to address key societal challenges that impact the lives of millions of people. \nIt is also our belief that AI research and product development needs to be more inclusive. This has motivated us to create opportunities for women to gain training\, experience\, and mentorship in machine learning techniques and product development by leveraging various ecosystem partners in the Montreal technology and start-up community. \nThe objective of this program is to provide a unique opportunity for women to gain training\, experience\, and exposure to machine learning techniques\, product development\, and career opportunities in the technology and startup ecosystem in Montreal. Find out more.
URL:https://vieux.ivado.ca/evenement/ai-for-social-good-lab/
ATTACH;FMTTYPE=image/png:https://vieux.ivado.ca/wp-content/uploads/2018/04/AIforsocialgood.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180611
DTEND;VALUE=DATE:20180616
DTSTAMP:20260418T015857
CREATED:20180604T155801Z
LAST-MODIFIED:20180604T155801Z
UID:9378-1528675200-1529107199@vieux.ivado.ca
SUMMARY:ITS2018
DESCRIPTION:The Intelligent Tutoring Systems (ITS) 2018 conference is the 14th in a series of top-flight international conferences on the use of advanced computer technologies and interdisciplinary research for enabling\, supporting and enhancing human learning. \nITS 2018 Conference will celebrate 30 years of on going contribution in the field of Intelligent Tutoring Systems and will take place in the city and country of its birth: Montreal\, Canada\, in mid June 2018. \nTheme of the Conference\nThe theme of ITS 2018 Conference traces the evolution of the academic and research achievements of the series of ITS Conferences from its birth up to now and explores its 30 years scientific impact in the field.  ITS 2018 “A 30 Year Legacy of ITS Conferences” is expected to place a special emphasis on the new challenges aiming at combining this Legacy with the new Advancements in Artificial Intelligence. It aspires to regroup and promote high-quality research and trigger an exchange of ideas in the field\, as well as to reinforce and expand the existing ITS network of researchers\, academics\, and market representatives. \nTopics of Interest\nTopics of interest to the conference include\, but are not limited to: \n\nIntelligent Tutoring\nAI in Education\nEducational Datamining\nMachine Learning in Intelligent Tutoring Systems\nDeep Learning and Intelligent Tutoring Systems\nInformal Learning Environments\, Learning as a Side Effect of Interactions\nCollaborative and Group Learning\, Communities of Practice and Social Networks\nSimulation-based Learning and Serious Games\nDialogue and Discourse During Learning Interactions\nUbiquitous\, Mobile and Cloud Learning Environments\nEmpirical Studies of Learning with Technologies\nUnderstanding Human Learning on the Web\nAdaptive Support for Learning\, Models of Learners\, Diagnosis and Feedback\nModeling of Motivation\, Metacognition and Affect Aspects of Learning\nRecommender Systems for Learning\nVirtual Pedagogical Agents and Learning Companions\nOntological Modeling\, Semantic Web Technologies and Standards for Learning\nMulti-Agent and Service Oriented Architectures for Learning and Tutoring Environments\nEducational Exploitation of Data Mining and Machine Learning Techniques\nInstructional Design Principles or Design Patterns for Educational Environments\nAuthoring Tools and Development Methodologies for Advanced Learning Technologies\nDomain-Specific Learning Technologies\, e.g. Language\, Mathematics\, Reading\, Science\, Medicine\, Military and Industry\nNon Conventional Interactions Between Artificial Intelligence and Human Learning\nPrivacy and Security in e-Learning Environments.
URL:https://vieux.ivado.ca/evenement/its2018/
LOCATION:UQAM
ATTACH;FMTTYPE=image/png:https://vieux.ivado.ca/wp-content/uploads/2018/06/ITS2018.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180611
DTEND;VALUE=DATE:20180615
DTSTAMP:20260418T015857
CREATED:20180604T024247Z
LAST-MODIFIED:20190627T163644Z
UID:9374-1528675200-1529020799@vieux.ivado.ca
SUMMARY:Montreal Conference - IEFA
DESCRIPTION:A new globalisation : Managing uncertainty \n\n\nThe Montreal Conference\, organized by the International Economic Forum of the Americas\, is a major international event that invites leaders from the worlds of economics\, politics and academia\, the public and private sectors\, as well as civil society to discuss the major issues surrounding the globalization of economies\, with a special focus on relations between the Americas and other continents. \nUnder the theme “A new globalization: managing uncertainty”\, this edition will be held from 11 June 14\, 2018 at the Bonaventure Hotel located 900 rue de la Gauchetière O.
URL:https://vieux.ivado.ca/evenement/montreal-conference-iefa/
ATTACH;FMTTYPE=image/png:https://vieux.ivado.ca/wp-content/uploads/2018/06/FEIA.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180612
DTEND;VALUE=DATE:20180613
DTSTAMP:20260418T015857
CREATED:20180604T022356Z
LAST-MODIFIED:20180604T022356Z
UID:9362-1528761600-1528847999@vieux.ivado.ca
SUMMARY:L'intelligence artificielle du génie dans les données
DESCRIPTION:L’intelligence artificielle est un véritable réservoir d’opportunités pour réinventer les modèles d’affaires. Une nouvelle industrie est née et est en effervescence à l’échelle internationale et particulièrement à Montréal. \nLa matière première? Le data. La valorisation et la transformation des données créent de la valeur ajoutée pour les entreprises et représentent une source de profitabilité incroyable. \nPlus d’information >>
URL:https://vieux.ivado.ca/evenement/lintelligence-artificielle-du-genie-dans-les-donnees/
LOCATION:Société des Arts Technologiques\, 1201 Boul St-Laurent\, Montréal\, QC\, H2X 2S6
ATTACH;FMTTYPE=image/jpeg:https://vieux.ivado.ca/wp-content/uploads/2018/06/RDG_Genium360.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20180612T080000
DTEND;TZID=America/New_York:20180613T170000
DTSTAMP:20260418T015857
CREATED:20180531T122622Z
LAST-MODIFIED:20200220T155450Z
UID:9336-1528790400-1528909200@vieux.ivado.ca
SUMMARY:Software Engineering for Machine Learning Applications (SEMLA)
DESCRIPTION:Polytechnique Montreal\, June 12 – 13\, 2018\nThe Software Engineering for Machine Learning Applications (SEMLA) initiative\, to be held on June 12 and 13 2018\, aims at bringing together leading software engineers\, machine learning experts and practitioners to reflect on and discuss the challenges and implications of building complex data-intensive software systems. \n \nFrom the early attempts in the late 80s (such as the MAIA project) to the most recent breakthroughs in applications of deep learning\, the human kind dreams of building machines capable of learning new tasks\, adapting to the environment\, and evolving. Yet this exploration poses important computational\, practical and ethical challenges. Failure to properly address these challenges in such software intensive systems can lead to catastrophic consequences. Consider\, for example\, the recent human toll incidence caused by the $47-million Michigan Integrated Data Automated System (MiDAS) (see Broken: The human toll of Michigan’s unemployment fraud saga)\, or the recent finding that simple tweaks can fool neural networks in identifying street signs (see Robust Physical-World Attacks on Deep Learning Visual Classification). \nThe increasing concern of machine learning impacting people’s lives found a strong advocate in Prof. David Parnas\, who expressed his concern in an ACM communication article. These challenges are also reflected in new IEEE standardization initiatives. With data science and deep learning becoming increasingly pervasive in the contemporary world\, it is now imperative to engage software engineers and machine learning experts in in-depth conversations about the necessary perspectives\, approaches and roadmaps to address these challenges and concerns. \nIn particular\, we are interested in (but not limited to) discussing the following topics concerning software-intensive machine learning applications“in the wild”: \n\nArchitecture and software design\nModel/data verification and validation\nChange management\nUser experience evaluation and adjustment\nPrivacy\, safety\, and security issues\nEthical concerns\n\nWe encourage and welcome experts from all sub-fields of software engineering and machine learning to participate in such discussion.
URL:https://vieux.ivado.ca/evenement/software-engineering-for-machine-learning-applications-semla/
LOCATION:Polytechnique Montréal\, 2500 chemin de la Polytechnique\, Montréal\, Québec\, H3T1J4\, Canada
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