Call for Papers |
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Applied Machine Learning Days 2022 March 26-30, 2022 EPFL, Lausanne, Switzerland ******************************** The Applied Machine Learning Days will take place from March 26 to 30, 2022, 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 and academia. The first two days are focussed on hands-on sessions, with workshops, trainings, coding classes and tutorials. The main conference, happening the following three days, features top-level speakers, parallel domain-specific sessions, poster sessions and exhibitions. AMLD2022 will feature more than 28 different specific tracks on AI & ML domains. ===================== Call for Presentations and Posters ===================== Your Machine Learning research or project fits one of our conference tracks? Apply to join us and speak about it on a stage! If you have some interesting research, a practical project, an awesome product, a promising startup, a sharp expertise, a strong opinion or anything worth that fits one of those conference tracks that you would like to present and discuss with machine learning and AI experts and enthusiasts, we encourage you to submit a proposal for one of the tracks in development. You can propose a talk (presentation) and/or a poster. SUBMISSION DEADLINE: Friday February 4, 2022 23:59 UTC NOTIFICATION: February 18, 2022 Link: https://appliedmldays.org/events/amld-epfl-2022/calls/talks-posters ===================== CONFIRMED KEYNOTE SPEAKERS ===================== - Carmela Troncoso (EPFL) - Christopher Bishop (Microsoft Research) - Francesca Bria (Italian Innovation Fund) - Jakob Uszkoreit (Inceptive) - Max Welling (Microsoft Research) - Melanie Mitchell (Santa Fe Institute) - Michael Bronstein (Imperial College London & Twitter) - Regina Barzilay (MIT) - Samy Bengio (Apple) - Thomas Wolf (Hugging Face) - Urs Hölzle (Google) - More Keynote Speakers TBA soon ===== Tracks ===== • Academic Support & Scientific Services in AI • Advances of ML Approaches for Financial Decision Making & Time Series Analysis • AI & Aviation • AI & Cybersecurity • AI & Engineering • AI & Healthcare • AI & Industry • AI & Manufacturing • AI & Media • AI & Mobility • AI & Pharma • AI & Physics • AI & Regulation • AI & Sustainable Energy • AI & Telco • AI & the Molecular World • AI & the Real-World Energy-Turnaround • AI for Food & Nutrition • AI for Humanitarian Action Revisited • Applied NLP Technologies for Physical & Mental Health in Practice • Decentralized finance and cryptocurrencies • DEEP diving into Natural Language Processing for Humanitarian Crisis Response • Edge AI • Methods for Generating Realistic Synthetic Data • Overtrust - A Design Sprint to develop initiatives to mitigate overtrust in AI and automated technologies • Quantum Physics and Machine Learning • The Data & AI Maturity Journey • Using AI to Track Missing Migrants Worldwide |
Credits and Sources |
| [1] AMLD 2022 : Applied Machine Learning Days |
