Paper on AI Explainability published by Nature

Congratulations to Erwan Le Merrer (WIDE) and Gilles Trédan (LAAS), whose paper “Remote explainability faces the bouncer problem” has recently been published by Nature! The paper considers the concept of explainability of machine learning decisions. The concept is simple: like humans, algorithms should explain the rationale behind their decisions so…

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National and Regional Awards from SEE for Florestan De Moor

Florestan De Moor received this year’s “Prix National Jeunes André Blanc-Lapierre 2019” and the “Prix Groupe Ouest 2019” from the SEE society (Société de l’électricité, de l’électronique et des technologies de l’information et de la communication), for his Master thesis entitled “A Biclustering Approach to Recommender Systems” performed within WIDE, and…

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WOS9: Inria/Interdigital Workshop On Systems, Dec. 5th 2019

The full program of the 9th edition of WOS, the InterDigital/Inria Workshop on systems, is available online. WOS’9 will take place on December 5th (full day) at InterDigital (Cesson-Sévigné, close to Rennes). Attendance is free, but registration is compulsory for logistics purposes (see https://team.inria.fr/wide/wos/ to register). Afficher une carte plus…

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Keynote from Anne-Marie Kermarrec

During the SRDS 2019 conference which took place in Lyon, France, from October 1st to 4th, Anne-Marie Kermarrec gave a keynote about Recommending Fast Data. Summary Computing systems that make human sense of big data, usually called personalization systems or recommenders, and popularized by Amazon and Netflix, essentially help Internet…

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Atelier “algorithmes en boite-noire” – 10 Octobre 2019 – Lyon

Les technologies de l’information et de la communication transforment la société. Les algorithmes sont au coeur de toutes les attentions: objets industriels fondamentaux pour les entreprises, ils sont souvent perçus comme des “boites-noires” par les utilisateurs confrontés à leurs décisions. Ce constat ne va qu’en s’amplifiant avec le déploiement continu…

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