
Machine Learning for Ocean Prediction: Methods, Applications & Challenges 2026 (AI-TT workshop)
Description
Join experts and enthusiasts at the forefront of technology at the 'Machine Learning for Ocean Prediction: Methods, Applications & Challenges' conference, taking place in the vibrant city of Montreal, Canada, from April 13 to April 14, 2026. This event will delve into the innovative intersection of machine learning and oceanography, exploring how advanced algorithms can enhance our understanding and prediction of oceanic phenomena. Attendees will have the opportunity to engage with leading researchers, industry professionals, and policymakers, sharing insights on the latest methods and applications in the field.
Highlights
Focus on integrating machine learning techniques into ocean prediction models. Keynote speakers and expert panels discussing recent advancements. Sessions on hybrid modeling and data assimilation methods. Breakout discussions addressing evaluation challenges in AI-based forecasts. Opportunities for networking and collaboration among researchers and practitioners. Presentations on machine learning emulators and their applications. Exploration of technical challenges in operationalizing AI for ocean forecasting. Poster sessions showcasing innovative research and case studies. Discussions on future directions and developments in the field. Collaboration with Environment and Climate Change Canada (ECCC).
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Glynis E. Devine
Theme:President/CEO

Elena Kolesnikova
Theme:Buyer

Marie Jouberthe
Theme:Fashion Designer

Tonys Mann
Theme:Montreal, Canada

Audrey R. Brackley
Theme:Designation

Kader Amhis
Theme:IT Support

Karen Appelgren
Theme:Montreal, Canada

Manon Cote
Theme:Montreal, Canada
