Congratulations to Petros Elia, Professor in the communication systems dept. who has won Proof of Concept Grants for his project LIGHT (Cache-aided Folding for Reducing VoD Loads in Networks).This top-up funding will help him bridge the gap between the results of his pioneering research and the early steps of its commercial development.
He is one of only seven French recipients of this award ! This is the 5th ERC funding awarded to a EURECOM researcher. Once again congrats !
[SHANGHAI RANKING 2022] EURECOM is ranked 2nd among french universities in the "Telecom Engineering" ranking by subject!
A good news that confirms EURECOM's excellence and expertise in the field of digital communications!
Access to the online ranking :
We are proud to announce that this year again EURECOM has been awarded an overall five-star QS rating by the prestigious Quacquarelly Symonds (QS) Stars Rating.
This distinction reflects the excellent performance of EURECOM in key areas such as teaching, research, employability, internationalization or e-learning.
A new Best Paper Award has been given for DAGOBAH system at IC 2022, a collaborative research project developed by EURECOM Data Science Department from Sophia Antipolis in association with Orange Labs teams from Belfort and Rennes
Human activities produce a lot of raw data presented in the form of tables. To understand them quickly, EURECOM and Orange are developing the DAGOBAH semantic annotation platform. DAGOBAH System performs automatic pre-processing and semantic interpretation of tables. It aims to deploy a generic solution used to optimize AI applications such as personal assistants, but also to promote the management of complex data sets of any company.
Congratulations to our researchers and to our partners!
Learn more about DAGOBAH system in this article!
Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Frédéric Deuzé, Thomas Labbé, Pierre Monnin, Raphaël Troncy
DAGOBAH : Annotation sémantique de données tabulaires par comparaison du contexte des tables et d’un graphe de connaissances, page 10-19 : https://ci.mines-stetienne.fr/pfia2022/conferences/ic/Articles/Actes-IC-PFIA-2022.pdf
This workshop aims at encouraging communication between researchers working on fundamental aspects of machine learning. Topics include, but are not limited to, Gaussian processes, kernel methods, probabilistic numerics, interpretability, optimization, and deep learning.
Organizers : Motonobu Kanagawa (EURECOM), Arthur Gretton (Univ. College London) & Philipp Hennig (Univ. of Tuebingen & Max Planck Institute for Intelligent Sytems)
EURECOM welcomes the students of the first class of engineers from the ""Concours Mines Telecom"
Beginning of the three-week intensive French course for international students
The Data Science Department is opening a PhD position on advanced machine learning tools for cerebrovascular image segmentation from multi-modal images.
The Ph.D. student will work on a collaboration project between EURECOM and the National Institute of Environmental Studies (NIES) (…
We are looking for a talented Ph.D. candidate to help us advance state of the art in data-intensive…