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There are 51 Results with the keyword : "Machine learning"


OrphaMine: a tool to better understand rare diseases

Marine Loyen - 5/01/2016

Like Dr House in the eponymous television series, doctors are sometimes confronted with enigmas when faced with certain pathologies. The OrphaMine platform, developed as part of the ANR Hybride project, aims to provide specialists with a better understanding of rare diseases. Tested in-house, it will soon be offered to a broader panel made up of doctors, researchers and representatives of the pharmaceutical industry.


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© Keycoopt


Keycoopt and Inria bring machine learning to the world of recruitment by referral

Jérôme Guedj - 18/04/2016

Keycoopt's concept is to enable companies to recruit managers through employee referrals. Launched in 2012, this Lille-based start-up called upon Inria's expertise to design a software tool in order to automate and reinforce the relevance of recruitment via employee referral.


Home > Centre > Lille > News > Keycoopt et Inria font entrer le machine learning dans le monde du recrutement par recommandation


© Folotia / Kamelecom

Machine Learning

Applying machine learning to education


The Sequel project-team, which specializes in sequential machine learning, has been working for the last two years with scientists from Carnegie Mellon University in Pittsburgh, in a combined team known as Eduband. This team is investigating how machine learning can improve the new educational tools. But can an algorithm measure a student's interest and progress?


Home > Centre > Lille > News > Appliquer le machine learning à l’éducation



Paris Sciences & Data


Chaque édition réunit autour d’un domaine d’application un chercheur en science des données, un chercheur dont la discipline est impactée par ses récentes avancées ainsi qu’une entreprise innovante du domaine qui introduisent un débat par 3 courtes présentations. L’événement se clôture par un cocktail de networking.

Place : Institut Marie Curie, 1 rue Pierre et Marie Curie, 75005 Paris - Amphithéâtre du BDD / 17h00 - 19h00


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Conference with Satya Nadella


On November 9th, Satya Nadella, CEO of Microsoft Corp, will give a keynote at La Sorbonne University in a conference entitled “Innovation & Tech : quel sera votre métier demain ?”.

The event will take place from 14:30 to 17:30 at the “grand amphi de la Sorbonne”.

Place : La Sorbonne

Guest(s) : Satya Nadella, Laurent Massoulié, Florent Perronnin, Nicolas Le Roux


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© INRIA Sophie Auvin - P comme Protocole

Séminaire des équipes de recherche

Séminaire Prosecco


Machine learning classifiers are increasingly popular for security applications, and often achieve outstanding performance in testing. When deployed, however, classifiers can be thwarted by motivated adversaries who adaptively construct adversarial examples that are misclassified.

Place : Inria de Paris, 2 rue Simone Iff, 75012 Paris - Bâtiment C, Salle Jacques-Louis Lions 2 - 11h00

Guest(s) : David Evans, University of Virginia (visiting Prosecco from May to August 2017)


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Greece, England and Germany


After beginning her career in France and then going to Britain, the Franco-Greek researcher Alexandra Carpentier is preparing to move to Germany: a journey marked by her desire to understand the fascinating universe of mathematical statistics and machine learning.


Home > Centre > Lille > News > De la Grèce à l'Allemagne en passant par Lille et Cambridge.


Michal Valko - © Inria / Photo A. Wrona

Research and Teaching

Michal Valko deciphers machine learning


Can machines learn for themselves? INRIA researcher Michal Valko is convinced of it. It’s an idea he is passing on to his students in the prestigious MVA Master’s course run by ENS Cachan.


Home > Centre > Lille > News > Michal Valko décrypte le machine learning


Inria International Labs - Europe

Inria and Centrum Wiskunde & Informatica (CWI), a long-term partnership


Centrum Wiskunde & Informatica (CWI) and Inria have signed a partnership agreement at the festive 70th anniversary of CWI in Amsterdam in 2016. Inria invited CWI to set up an Inria International Lab (IIL) together. The purpose of such Inria International Labs is to fund and develop partnerships and collaborative research with international first-class institutions. Inria regards CWI as being one of the best players in the field internationally and has thus selected the institute as a long-term strategic partner.


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Microsoft Research - INRIA Joint Centre: Research for e-Sciences

The Microsoft Research - Inria Joint Centre shared research laboratory was established on the 11th January 2007 following a period of collaboration dating back over several years. The aim of the shared laboratory is to undertake long-term research into formal methods for software security, and data processing methods and tools applied to scientific research.

This partnership began in 2005 and was renewed in 2009 and 2013.


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