Consistently, the world produces more data — content, pictures, features and the sky is the limit from there. To be valuable, Facebook's applications and administrations need to help people  deal with this data so people can better comprehend people  general surroundings and all the more adequately speak with the individuals who are critical to people . For somewhat more than a year FAIR have  been building a project — Facebook AI Research (FAIR) — on account of this objective. 

Today  FAIR declared that we're extending those endeavors with another AI exploration group in Paris. Like the current FAIR groups in Menlo Park and New York, the Paris group will take a shot at eager long haul exploration extends in picture acknowledgment, characteristic dialect preparing, discourse acknowledgment, and the sorts of physical and consistent framework needed to run these AI frameworks. It's our trust that this exploration will at last help us make administrations like News Feed, photographs and inquiry far superior and empower a totally new arrangement of approaches to join and offer. 

FAIR  picked Paris for this extension on the grounds that France is home to a percentage of the best specialists on the planet. We think the FAIR Paris group will convey profitable aptitude and new points of view to our work, and we plan to work transparently with and put resources into the AI research group in France, the EU, and past as we endeavor to gain significant ground in these fields. We have a community oriented assention set up with INRIA, a main examination establishment in Paris which opens up new joint study open doors for capable exploration experts, PhD understudies, and postdoctoral scientists. We accept this open model at last goads more development, supports joint effort and shared audit, and helps all of us move qu

Facebook AI research team  focused on propelling the field of machine insight and creating advances that give individuals better approaches to impart. In the long haul, Facebook AI research team  look to comprehend knowledge and make shrewd machines. By what means will  team finish this? By building the best AI lab on the planet.

Research at the lab covers the full range of subjects identified with AI, and to getting information from information: hypothesis, calculations, applications, programming base and equipment foundation.

Our long haul destinations of comprehension knowledge and building shrewd machines are strong and aspiring. Be that as it may, gaining huge ground towards AI isn't possible in segregation, and will oblige the full engagement of the universal exploration group. Everybody at Facebook unequivocally accepts that investigative and innovative advancement originates from open associations inside of the exploration group. In that soul, Facebook AI scientists are required to add to the examination group through productions, open source programming, interest in specialized meetings and workshops, and through coordinated efforts with associates in the educated community.

Member at the work:

Keith Adams

Michael Auli

Antoine Bordes

Tudor Bosman

Leon Bottou

Lubomir Bourdev

Y-Lan Boureau

Soumith Chintala

Sumit Chopra

Ronan Collobert

Camille Couprie

Piotr Dollar

Rob Fergus

David Grangier

Hervé Jégou

Jeff Johnson

Armand Joulin

Anitha Kannan

Timothée Lacroix

Yann LeCun

Kevin Lee

Adam Lerer

Laurens van der Maaten

Tomas Mikolov

Manohar Paluri

Florent Perronnin

Serkan Piantino

Marc'Aurelio Ranzato

Alexey Spiridonov

Gabriel Synnaeve

Arthur Szlam

Yaniv Taigman

Yuandong Tian

Andrew Tulloch

Mark Tygert

Nicolas Usunier

Pam Vagata

Vladimir Vapnik

Nicolas Vasilache

Jason Weston

Ledell Wu

Omry Yadan