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MAGIC SIGNED

Multimodal Agents Grounded via Interactive Communication

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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Project "MAGIC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD POMPEU FABRA 

Organization address
address: PLACA DE LA MERCE, 10-12
city: BARCELONA
postcode: 8002
website: www.upf.edu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2020-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD POMPEU FABRA ES (BARCELONA) coordinator 158˙121.00

Map

 Project objective

One of the main goals of artificial intelligence is to build artificial agents that can interact with humans using natural language. To fully master language, an agent needs to know how to use it to accomplish a goal; to interact with another speaker; and to refer to objects in the external reality. My research project aims at equipping an artificial agent with all these skills in one single learning framework.

Communication helps humans accomplish things in the world and cooperate with each other, resulting in continuous and incremental updating of the speakers’ knowledge state. However, traditional machine learning methods used to model language are based on static and passive regimes, and are typically not grounded in external reality. I propose a radically different research programme, based on recent advancements in training neural networks using reinforcement learning, that will enable the move from a static, fully supervised to a dynamic, interactive learning where the agents need to use language to accomplish a task in the visual world. This will dramatically accelerate the development of machines that can talk with humans.

Even though I am an established researcher in computational linguistics, with substantial contributions to the integration of language and vision, I still need to fully develop my own line of research to become a leading, independent researcher in Europe. Carrying out the present proposal at Universitat Pompeu Fabra and Facebook Artificial Intelligence Research will be a fundamental step towards achieving my goal, since my hosts are leaders in computational linguistics, machine learning, and artificial intelligence in general, and specifically in the methods needed for the present proposal. Conversely, my unique profile, bridging computational linguistics and computer vision with machine learning methods, will widen the scope and outreach of the research conducted at both groups.

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The information about "MAGIC" are provided by the European Opendata Portal: CORDIS opendata.

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