AI & Nutrition

13:30-17:00, January 28 @ 2A

Track / Overview

The United Nations states “End hunger, achieve food security and improved nutrition and promote sustainable agriculture" as one of its sustainable development goals by the target date of 2030. To achieve these goals, global food and agriculture systems will require profound changes, in which big data and AI technologies can play significant roles.

In the past decade, a huge amount of work has been done in biomedical predictive modelling. While there are extensive resources available for the biomedical domain, the food and nutrition domains are relatively low AI-resourced. There are few food named-entity recognition systems for the extraction of food and nutrient concepts. In addition, the available food and nutrition ontologies are developed for a very narrow use cases, and there are no links between these ontologies that can be used for food and nutrition data management.

The focus on this track is to provide an overview of AI methods that have already existed for food and nutrition data, together with methods for linking biomedical research data with food and nutrition data as well as on methods that address key challenges arising in application areas relevant to personalized nutrition and medicine.

Track / Schedule

Welcome & introduction

With Barbara Koroušić Seljak, Tome Eftimov & Fabio Mainardi

A Public ML Benchmark for Food Recognition

With Marcel Salathé

Towards personalized diet using linked data

With Aleksandra Kovachev

Break

Large-scale prediction of phenotypes from biological networks

With Marinka Zitnik

Standardization of the data in food and nutrition

With Nives Ogrinc

Q&A

Track / Speakers

Marinka Zitnik

Harvard University

Marcel Salathé

Professor, EPFL

Fabio Mainardi

Senior Data Scientist, Nestle

Tome Eftimov

Researcher, Jozef Stefan Institute

Barbara Koroušić Seljak

Associate Professor, Jozef Stefan Institute

Nives Ogrinc

Jožef Stefan Institute

Aleksandra Kovachev

Machine Learning Engineer, Delivery Hero

Track / Co-organizers

Fabio Mainardi

Senior Data Scientist, Nestle

Tome Eftimov

Researcher, Jozef Stefan Institute

Bibek Paudel

Postdoctoral Research Fellow, Stanford University

Barbara Koroušić Seljak

Associate Professor, Jozef Stefan Institute

AMLD EPFL 2020 / Tracks & talks

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13:30-17:00 January 2709:00-12:30 January 285ABC

AI & Humanitarian Action

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09:00-17:00 January 281BC

AMLD / Global partners