Pitch presentations give the great opportunity to get helpful and constructive feedbacks on your work and can trigger interest for new ideas and collaborations.
In the past decade, a considerable amount of work has been done in biomedical predictive modelling. While there are extensive resources available for the biomedical domain, the food and nutrition ones are relatively low AI-resourced. In the last five years, several studies have been focused on relevant food information extraction from textual data, food image recognition, food portion estimation, food ontology alignment, etc.
In this context, The AMLD 2021 AI Food and Nutrition track is looking for 3 minutes pitch presentations on research projects, finished or ongoing with first promising results, practical experiences or startup-like ideas that it is worth to share and discuss with other researchers in the domain of Food and Nutrition.
Pitch presentations give the great opportunity to get helpful and constructive feedback on your work and can trigger interest for new ideas and collaborations. On top of it, selected pitch speakers will get a free ticket for the track.
We are looking for 1 slide, written in English, able to summarize the novelty and originality of the work to be presented. We are expecting to have a 3 minutes pitch on it. The deadline to submit your proposal is 12/02/2021.
About your presentation
- Language: all presentations are in English
- The pitch presentation must be 1 Slide
- Duration: we would like to keep the sessions interesting, full of energy and fast-paced, thus we’re looking for talks of a length maximum 3 minutes. We will be on a tight schedule and will enforce the time limits rigorously. We suggest that you time your presentation in advance.
- Audience: your public will be made of researchers, practitioners, students, with different levels of knowledge and expertise. We suggest not to dig into very technical details. Still, feel free to provide references and pointers in case someone is interested in investigating further!
- Focus: the best pitch presentations should go straight to the point, with appealing and create supporting slide and an engaging and inspiring discussion with the audience.
Here’s how presentations will be selected:
- All submissions are anonymized, so that there is no bias towards the submitter.
- All submissions are reviewed and voted for by the conference and track organizers. The evaluation takes into account the following criteria:
- relevance of the topic to the ML community and for the track
- coherence and clarity of the proposal
- novelty/originality of the topic
- consistency with the time limits
- The top submissions are then de-anonymized so we can take speaker details into account.
Video recording for presentations
We plan to record and publish all talks online for free, along with a recording of the slide deck, live demo, and any on-presenter-screen activity. We do this for the benefit of the larger ML community and those who couldn’t make it to the conference. Since you retain full ownership of your slides and recording, we’d like to ask you to make your materials and recording available under a Creative Commons (we default to non-commercial reuse) or other open source licenses.
We hope you agree with us, but if you are uncomfortable with this in any way, let us know.
Apply now by filling this form
AI & Food and Nutrition – Call for pitches
AI Food and Nutrition is looking for 3 minutes pitch presentations on research projects, finished or ongoing work, practical experiences or startup-like ideas that it is worth to share and discuss with other researchers in the domain.Call ended