And also…

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...

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.

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!

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.

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.

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.

Denis Engemann (Inria Saclay - Île-de-France / CEA NeuroSpin) and Federico Raimondo (University of Buenos Aires/Sorbonne University), under the direction of Jacobo Sitt, Inserm researcher at the Institut du Cerveau et de la Moelle épinière (CNRS/Inserm/Sorbonne University), propose a new electroencephalography (EEG) tool called "DoC-Forest" to establish patients' awareness. Unlike the other tools developed so far and reserved for a few expert centres, "DoC-Forest" will be accessible to patients all over the world. Their study was published in the October issue of the trade journal Brain .

The second volume of a series of books, entitled Meshing, Geometric Modelling and Numerical Simulation 2: Metrics and Meshes, Adaptation and Applications ,co-written by Paul-Louis George, Houman Borouchaki, Frédéric Alauzet, Patrick Laug, Adrien Loseille and Loïc Maréchal - all members of the Gamma3 team - has just been published byISTE.

Although the world has been shaken up by artificial intelligence and the exploitation of personal data, the place of individuals and the control of their data have become central issues in the new General Data Protection Regulation (GDPR) and the law for a digital Republic. Célia Zolynski, Professor of Private Law at the University of Versailles - Saint-Quentin-en-Yvelines (UVSQ), and Nicolas Anciaux, Petrus team research director at Inria Saclay - Île-de-France, seized the opportunity offered by the DATAIA Institute to enable a collaboration of computer scientists and lawyers to analyse the Personal Cloud architectures available today, and establish the responsibilities of each of them with the central objective of protecting the individual.

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.