There are 4 Results with the keyword : "Datashape"
On 19 December 2017, Inria and Fujitsu signed a partnership agreement for a joint research programme on artificial intelligence and big data. Frédéric Chazal, the DataShape Project Team Leader at the Inria Saclay Île-de-France research centre, has committed to a 30-month collaboration as part of the programme.
- Inria Saclay - Île-de-France
- Analyse topologique
- Analyse des données
- Intelligence artificielle
- Objets connectés
- Frédéric Chazal
Fujitsu plans to invest €50 million in France to develop its competence in data processing and artificial intelligence. The major Japanese firm is seeking to work with Inria's researchers, starting with the Datashape team.
- Topological data analysis
- Frédéric Chazal
- Inria Saclay - Île-de-France centre
- Artificial intelligence
Award - PhD
The Gilles Kahn Prize 2015, awarded by the French Computer Science Society (SIF) and sponsored by the Academy of Sciences, has been won by Clément Maria for his doctoral thesis entitled, ‘Algorithms and Data Structures in Algorithmic Topology’, supervised by Jean-Daniel Boissonnat of the Geometrica project team, and based on research carried out at the Inria Sophia Antipolis – Méditerranée Research Centre.
- Saclay - Île-de-France
- GEOMETRICA team
- INRIA Sophia Antipolis - Méditerranée
- Prix Gilles Kahn
- Clément Maria
Fujitsu Laboratories has opened up the joint research results with Inria and participated in the Scikit-learn consortium
Although AI/machine learning has made remarkable progress in recent years and is expanding into various business domains, the Open Source Software (following OSS) community is underpinning its growth. Machine learning algorithms and much of their know-how are widely shared as OSS and are being developed with many volunteers. Data scientists and AI researchers use OSS to solve problems and develop new algorithms. Without these OSS, AI/machine learning would not have flourished like today.
Fujitsu Laboratories, as a research institute in industry, always use a lot of OSS during the research activities and it’s impossible to promote any research activities without OSS in these days. So, Fujitsu Laboratories understand that sustainable development of the OSS community is very crucial for our future research activities. OSS, on the other hand, are growing software, and many knowledgeable users often provide feedback on implementation and design issues. In other word, there is a lot of room for bug fixes and improvements. Fujitsu Laboratories recognizes the importance of contribution to the bug fixes and improvements not only for us but also whole AI community to make activities efficient.