Jan 21 2022
Congratulations to Dr. Thomas Watteyne and Prof. Kris Pister for being grantees of the France-Berkeley Fund program! Title of the project: M3 Marvelous Micro-Motes Principal Investigators: Thomas Watteyne, Inria, EVA project-team Kris Pister, EECS, UC Berkeley From a strong an collaboration… Dr. Thomas Watteyne is an Inria researcher who is defining the technology for …
May 19 2021
The associated team led by Bertrand Thirion (Inria project-team Parietal). This project brings together computer scientists and neuroscientists with varied and complementary skills. Between coding sprints and tool development, the Meta&Co team focuses on the analysis of very large-scale brain images. Known as MetaMRI between 2015 and 2017, the associated team became Meta&Co, Machine learning …
May 04 2021
The 2020 wildfire season in California was the largest in the state’s modern history, with over 4 million acres burnt, claiming 31 lives, and costing the state over 12 billion dollars. The BurnMonitor project brings together Inria and several partners to build a complete wildfire early detection solution. What do all fires have in common? They …
Feb 10 2021
The 2021 session of Deeptech North America – NETVA (New Technology Venture Accelerator) is launched! As you know, NETVA is a program of personalized support, opportunity analysis and development of technological partnerships in the United States, aimed at young French startups backed by research laboratories and/or developing innovative products with high added value. NETVA aims …
May 02 2018
GOAL (2015-2017) Geometry and Optimization with ALgebraic methods Principal Investigators: Jean-charles Faugere, POLSYS project team, Inria Paris Bernd Sturmfels, U.C. Berkeley Research objectives: GOAL develops algorithms and mathematical tools to solve geometric and optimization problems through algebraic techniques. The long-term objective is to develop new software to solve more efficiently these problems. These objectives encompass: identifying instances of these …
May 02 2018
DECIBEL (Since 2016) Discover, Express, Create – Interaction Technologies For Creative Collaboration Principal Investigators: Wendy Mackay, ExSitu project team, Inria Saclay research center Bjoern Hartmann, CITRIS, UC Berkeley Research objectives: Members of the DeciBel team focused on three key research objectives: Research collaborations with artists who push the limits of interactive technology to offer new insights into the design of interactive …
Apr 24 2018
GeomStats (Since 2015) Geometric Statistics in Computational Anatomy: Non-linear Subspace Learning Beyond the Riemannian Structure Principal Investigators: Xavier Pennec, EPIONE project team (formerly ASCLEPIOS), Inria Sophia Antipolis research center Susan Holmes, Stanford University, Department of Statistics Research objectives: The scientific goal of the associated team is to develop the field of geometric statistics with key applications in computational anatomy, …
Mar 15 2018
Meta&Co (Since 2015) Machine learning for meta-analysis of functional neuroimaging data* *formerly MetaMRI (from 2015 to 2017): Machine learning for meta-analysis of functional neuroimaging data Principal Investigators: Bertrand Thirion, PARIETAL project team, Inria Saclay Ile- de-France research center Russ Poldrack, Stanford University, Psychology department Research objectives: Meta&Co (since 2018) is an associate team that is …
Feb 26 2018
NUM4SEP (Since 2017) Numerics for Spherical Electroporation Principal Investigators: Clair Poignard, MONC project-team, Inria Bordeaux – Sud-Ouest Research Centre Frederic Gibou, Dpt of Mechanical Eng., U.C. Santa Barbara Research objectives: The goal of NUM4SEP is to provide a link between the quite well-understood cell electroporation and the tumor-like multicellular spheroid models. The distribution of the electric field in tumors as …
Jan 29 2018
LEGO (Since 2016) LEarning GOod representations for natural language processing Principal Investigators: Aurélien Bellet, MAGNET project-team, Inria Lille Fei Sha, University of Southern California, Dpt of Computer Science (formerly with TEDS,UCLA) Research objectives: LEGO lies in the intersection of Machine Learning and Natural Language Processing (NLP). Its goal is to address the following challenges: what are the …
