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Marco Baroni has obtained an ERC Advanced Grant

Marco Baroni has obtained an ERC Advanced Grant

01.06.2021

 

On 22 April, the ERC (European Research Council) announced the results of the 2020 call for ERC Advanced Grants awarded to 209 leading researchers in their respective fields of knowledge, in the framework of the EU’s research and innovation programme. This means a total budget for research of 507 million euros. A total of 2,287 projects were submitted, and the success rate stands at around 8%. In Spain, 11 projects were awarded (of which 5 in Catalonia). 

One of these important grants have gone to a COLT researcher: Marco Baroni. 

Marco Baroni is a member of the Computational Linguistics and Linguistic Theory (COLT) research group and ICREA research professor at the UPF Department of Translation and Language Sciences (DTCL), and will lead the project ALiEN: Autonomous Linguistic Emergence in neural Networks.

Autonomous automation equipped with deep neural networks

Deep neural networks are advanced artificial intelligence systems that are playing a growing role in our daily lives. The ALiEN project addresses the issue of how to make these systems communicate with each other in the not-so-distant future in which these systems are expected to become widespread.

Artificial intelligence agents will spontaneously develop their own universal communication protocol via a form of simulated evolution, just as humans and other animals developed their natural communication protocols

Marco Baroni explained: “In the future, we can assume that we will have “smart” fridges powered by artificial intelligence that will allow us to know when the milk bottle is almost empty. Then, could the fridge get in direct contact with the nearest store to order more milk? Today, this kind of interaction would only be possible if a programmer were to manually encode a protocol for the appliance to communicate with the store. This strategy is laborious and offers little flexibility”.

Within the ALiEN project, artificial intelligence agents will spontaneously develop their own universal communication protocol via a form of simulated evolution, just as humans and other animals developed their natural communication protocols

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