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Prototype de disque de 5 cm - © Sanctuary

interdisciplinarity

Sanctuary: leaving a mark on the Moon to celebrate the fiftieth anniversary of the Apollo 11 mission

Hugo Leroux - 18/03/2019

The goal of the Sanctuary project, which involves scientists from Inria, the CEA and the CNRS, is to take a collection of works and knowledge engraved on sapphire discs to the Moon.

Evidence of human culture left for future civilisations - or possibly aliens...

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© Inria / Photo C. Morel

Biomedicine & Digital

Distinguishing resistence from resilience to prolong antibiotic potency

Université de Duke, Inria, Institut Pasteur - 12/12/2018

Biomedical engineers at Duke University, in collaboration with Inria and the Institut Pasteur (Paris), have shown experimentally that there is more than one flavor of antibiotic resistance and that it could -- and should -- be taken advantage of to keep first-line antibiotics in our medical arsenal.

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Blockchain

The launch of the BART research collective website

Magalie Quet - 30/11/2018

The first scheme of its kind in France, the BART (Blockchain Advanced Research & Technologies) research collective, which brings together the Inria institute, the Télécom ParisTech and Télécom SudParis engineering schools and the SystemX technological research institute, has just launched its own website!

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Représentation d'un maillage 3D 3D mesh adapted for capturing the cone of noise produced by an aircraft - © Inria

Partneship

Inria rewarded for its collaboration with Lemma at the 8th edition of the FIEEC Prize for Applied Research

28/11/2018

In each of the past 8 years, the Fédération des Industries Électriques, Électroniques et de Communication (FIEEC) [The Federation of Electrical, Electronic and Communication Industries] has awarded a prize for applied research. The goal of this prize is to promote successful collaborations between industry and public research while demonstrating both their economic effectiveness and their potential for innovation. This year, the 2nd prize was awarded to Adrien Loseille (from Gamma3) for his work in adaptive meshing in collaboration with Charles Leca, CEO of Lemma.

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Transfer & innovation

From research to industry: Adrien Loseille recognised for his collaboration with LEMMA

19/10/2018

On 18 October 2018, on the occasion of the 'Rendez-vous Carnot' meetings, the Federation of Electrical, Electronic and Communication Industries (FIEEC) presented the FIEEC Applied Research awards. This year, the second prize was awarded to Adrien Loseille, researcher within the Gamma3 team, for his work on adaptive meshing in collaboration with the SME LEMMA.

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The winners of the 2018 Paris Region AI Challenge - © Région IDF

Start-up

The start-up TheraPanacea wins the 2018 Paris Region AI Challenge first prize

Magalie Quet - 18/10/2018

Launched in January 2018 by the Île-de-France regional authority, on Monday 15 October the 2018 Paris Region AI Challenge revealed the competition's four prize-winning start-ups. The company awarded first prize was TheraPanacea, created by researcher and professor Nikos Paragios, for its AI project applied to the healthcare sector and, more specifically, oncology.

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Software

Launch of the scikit-learn initiative, a reference software library for machine learning

LG - 17/09/2018

Inria is pleased to announce the launch of the scikit-learn initiative, a partnership with companies using scikit-learn. Its objectives are to support the development of this reference software: sustaining its high quality and adding new functionalities. Scikit-learn is a library in Python, an high-level programming language. It is dedicated to statistical learning (machine learning) and can be used as middleware, especially for prediction tasks.

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Julie Josse and Gaël Varoquaux - Inria / C.Céard

Interdisciplinary research

MissingBigData: getting mathematics and computer science to work together for a better solution to the missing data problem

Charlotte Renauld and Carole Céard - 28/06/2018

Julie Josse, professor of statistics at the École polytechnique and researcher at the French Centre for Applied Mathematics (CNAM), and Gaël Varoquaux, Parietal team researcher at the Inria Saclay - Île-de-France centre, have decided to combine their expertise in order to tackle, together, the problems of missing data and to propose new decision support methods. The MissingBigData project has been selected by the DATAIA Institute as part of its first call for research projects. How did this collaboration come about? What are the challenges of their interdisciplinary research? Julie and Gaël present MissingBigData .

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©CC0 Creative Commons - Elisa Riva

Neurosciences

High-resolution imaging maps the human brain to create an atlas of cerebral cognitive functions

Magalie Quet - 15/06/2018

Within the framework of the Human Brain Project [1], researchers from the Parietal team are actively taking part in the multidisciplinary collaborative project [2] entitled Individual Brain Charting, which consists in creating a precise macroscopic map of the cognitive functions of the human brain. The ultimate aim of the acquisition of functional MRI data during the performance of behavioural tasks is to develop a veritable functional brain atlas. On 12 June, the international scientific journal Scientific Data , by the Nature group, published an article on this major project.

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Results of call for proposal

At least three projects involving the Inria Saclay - Île-de-France centre selected by the DATAIA Institute

Carole Céard - 31/05/2018

As part of its 2018 call for projects, the DATAIA Convergence Institute has selected GDP-ERE and MissingBigData, two projects led respectively by the Petrus and Parietal teams from the Inria Saclay - Île-de-France centre, in collaboration with the university of Versailles Saint-Quentin in the Yvelines department and the CNRS (French National Centre for Scientific Research). The Vadore project, led by the members of the Inria team TAU for the CNRS and the graduate school ENSAE, has also been chosen, whilst the Aviz team's HistorIA project with Télécom ParisTech is on the point of selection subject to funding.

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