Applied Machine Learning Days

AMLD 2020


Artificial Intelligence



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Applied Machine Learning Days 2020
January 25-29, 2020
EPFL, Lausanne, Switzerland
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The Applied Machine Learning Days will take place from January 25th to 29th, 2020, at the Swiss Tech Convention Center on EPFL campus. It is one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry, academia and public goods organizations.
The first two days are focused on providing hands-on experience, with workshops, training sessions, coding classes and tutorials. The following three days of conference feature top-level speakers, poster sessions and exhibits. AMLD2020 will feature more than 20 different specific tracks on AI & ML domains.
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Call for Presentations and Posters
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Want to speak and present your work during one of the largest machine learning and AI events in Europe? This is your chance!
As last year, AMLD2020 features different domain-specific tracks from Monday to Wednesday, January 27-29, 2020. More than twenty “AI & your domain” tracks will be featured during the event.
If you have some interesting research, a practical project, an awesome product, a promising startup, a sharp expertise, a strong opinion or anything worth sharing and discussing with other researchers, practitioners, fields experts or machine learning and AI enthusiasts, we encourage you to submit a proposal for one of the tracks in development. You can propose a presentation and/or a poster.
SUBMISSION DEADLINE: Friday November 1st, 2019 23:59 UTC
NOTIFICATION: November 22, 2019
Link: https://www.appliedmldays.org/call-presentations-posters
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CONFIRMED KEYNOTE SPEAKERS
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- Danny Lange (Unity Technologies)
- Michal Kosinski (Stanford University)
- More Keynote Speakers TBA soon
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Tracks
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• AI & Aviation
• AI & Cities
• AI & Climate Change
• AI & Education
• AI & Energy
• AI & Epidemiology
• AI & Humanitarian Action
• AI & Imaging
• AI & Industry
• AI & Insurance
• AI & Leadership
• AI & ML on the Edge
• AI & Networks
• AI & NLP
• AI & Nutrition
• AI & Online Business
• AI & Pharma
• AI & Physics
• AI & Policy
• AI & Space
• AI & the Molecular World
• AI & Topology
• AI & Trust