Fundamental Science in the era of AI: This ICLR 2020 workshop will address a number of pressing topics: What is good fundamental science in an era when AI is becoming core to the way scientists interrogate and understand the physical world? How can AI help deal rigorously with the data deluge of “big science”? How can AI help amplify the social impact of fundamental science?
We are pleased to announce the first “Fundamental Science in the era of AI” Workshop at the International Conference on Learning Representations (ICLR) 2020.
This virtual workshop will consist of a mix of pre-recorded and live content, with various different ways to participate and engage:
Throughout the day we will be livestreaming invited talks, contributed talks, lightning poster presentations, and 2 live panel discussions. Please see the schedule below for details.
During the livestream, we encourage you to discuss the workshop content with other participants and to ask questions of our speakers. We have two tools, rocket.chat and sli.do (event code 56754). We have two to aid with global access, and the moderator will monitor both.
Our invited speakers and panelists will discuss a mix of curated and audience questions. Please suggest topics of discussion on the Sli.do to help us put together the best discussion possible
By participating in FSAI, including Q&A sessions, panels, and poster sessions, you agree to follow the ICLR Code of Conduct.
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The key themes for the workshop are:
Potential topics for submissions include, but are not limited to:
Our belief is that this workshop will bring together machine learning experts and scientists doing fundamental research at a key time for science both worldwide and on the African continent. We hope the workshop will stimulate new collaborations and networks and catalyse radical new ideas on a range of fundamental and important questions.
We invite anonymous submissions of short papers in the ICLR style for two tracks to address the key themes of the workshop. The “papers” track is for published or completed work, or work on which there has already been considerable progress. The “proposals” track is for detailed proposals for future work with a focus on rigorous concepts and ideas.
All machine learning techniques are welcome but particularly those which have the potential to scale to be useful to science in the coming decades. Submissions should make clear how the application will advance at least one of the major themes of the workshop. Submissions will not be published other than on the workshop webpage, and hence do not affect future publication of the work.
Submissions are limited to 4 pages for “Papers Track” (work that is in progress, published, and/or deployed), and 3 pages for the “Proposals Track” (detailed descriptions of ideas for future work). The emphasis should be on clearly presenting the key ideas, and why they are (1) important, (2) relevant and (3) correct.
Accepted submissions will be included in the poster sessions. A subset will be invited to give 10-20 minute spotlight talks.
Tuesday Feb 18, 2020 Please go to https://cmt3.research.microsoft.com/FSEAI2020 to apply.
Limited funding may be available to support participants from South Africa whose contributions are accepted for a poster or talk, based on need.
https://iclr2020-fsai.github.io/FSAI