There are 10 Results with the keyword : "Parietal"
NiConnect is a Future Investments project that just been approved a few weeks ago. Gaël Varoquaux, the project's young promoter and member of the Parietal team, explains the aims of this research programme in bioinformatics.
- Gaël Varoquaux
- Saclay - Île-de-France
- Investissement d'avenir program
Brain imaging has made a great deal of progress in recent years, providing more and more data and with an increasingly high level of quality. Developing reliable, high-performance tools to improve the use of these images is now vital. Inria has an important role to play in this respect. The Parietal team is presenting four articles on this subject at MICCAI 2012, as well as contributing to four specialist workshops and running a demonstration at the Inria stand.
Bertrand Thirion, Parietal team leader, Inria Saclay–Île-de-France
- Bertrand Thirion
- Scikit learn
- Saclay - Île-de-France
- Brain imaging
- Images analysis
The Parietal team is taking part in the Azure Brain project, in collaboration with Microsoft and the joint Inria-Microsoft Research research laboratory, to analyse large masses of neuroimaging data through cloud computing. Bertrand Thirion, the team's leader, explains the potential benefits of this innovative project.
Olivier Grisel, a software engineer in the Parietal project team from Inria Saclay – Île-de-France research centre, took part in the French radio programme "La tête au carré" on France Inter on the topic of "Our lives in the age of big data".
Specialised in the analysis of brain images, Gaël Varoquaux is a member of the Parietal team at the Inria Saclay – Île-de-France research centre. On 29 September 2016, he was the guest at a "Unithé ou café" meeting organised by Saclay centre.
The PARIETAL project team, in partnership with Telecom ParisTech has published a paper entitled: “Seeing it all: Convolutional network layers map the function of the human visual system”, which reveals that models used by computer for image recognition have much in common with the human brain.
At the end of May, after six years in construction and over 14 days being transported, the largest human MRI scanner[i] - the Iseult project - arrived at the Neurospin research centre in Saclay. Equipped with the most powerful magnet in the world, generating a record magnetic field of 11.7 teslas[ii], this MRI will be able to explore the human brain with a hitherto unparalleled level of precision. The Parietal project team from the Inria Saclay - Île-de-France centre, a joint team with the CEA[iii] and located at the NeuroSpin research centre will, a few months from now, be able to work on this behemoth of technologies and push their studies of the brain even further.
ERC Starting Grant
Winner of a 2015 ERC Starting Grant, for his projectSignal processing and Learning Applied to Brain data(SLAB), Alexandre Gramfort has been a member of the Parietal project team - a joint team with CEA-Saclay - since 1st April 2017. His project aims to provide a more accurate interpretation of the electrophysical signals of healthy or sick brains, in order to better understand how they function. A meeting with this young researcher, lecturer and graduate of the French engineering school Télécom ParisTech.
- Alexandre Gramfort
- Apprentissage statistique
- Inria Saclay - Île-de-France
- Machine learning
Inria is pleased to announce the launch of the scikit-learn initiative, whose objective is to speed up, with the support of user companies, the development of this reference software by adding new functionalities. Scikit-learn is a library developed in Python, an object-oriented programming language. It is dedicated to statistical learning (machine learning) and can be used as middleware, especially for prediction tasks.
Results of call for proposal
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.