There are 6 Results with the keyword : "Algorithme"
An Inria research team dedicated to coupling physical modeling with statistics, I4S develops new methods to improve Structural Health Monitoring, i.e. computerized damage detection on bridges, buildings, or wind turbines. Researchers Laurent Mevel and Michael Döhler explain how their algorithmic technology was successfully transferred to the Danish SVS, the leading software vendor in the field of operational modal analysis.
- Laurent Mevel
- INRIA Rennes - Bretagne Atlantique
- Michael Döhler
Nous avons rencontré Mazyar Mirrahimi, responsable de l'équipe Quantic (QUANTum Information Circuits) créée le 1er janvier 2014.
- Equipe QUANTIC
- Nouvelle équipe
- Ingénierie quantique
Robots could help our society in many types of situation, for example searching for survivors after a natural disaster or alerting the fire services in the event of a forest fire. But they will always be confined to research laboratories until they are able to continue operating when damaged. Researchers from the Institute for Intelligent Systems and Robotics (CNRS/UPMC) and the Lorraine Laboratory of Research in Computer Science and its Applications (CNRS/Inria/University of Lorraine) are showing how robots can automatically adapt to damage in less than two minutes. Their results were published in the 28 May 2015 issue of Nature.
Séminaire des équipes de recherche
George Lima is an Associate Professor at Federal University of Bahia (UFBA) in Brazil, and holds a Ph.D. degree in Computer Science from the from The University of York, UK (2003). At UFBA, George has taken several relevant administrative positions, among which Head of Department and Head of the Ph.D. Program in Computer Science. His main research interests are in the area of real-time systems, covering topics such as scheduling, fault tolerance, operating systems, communication networks, and distributed systems.
Place : Inria Paris - Bâtiment C, JJ Lions - 10h00
Guest(s) : George Lima (UFBA)
Prize and Award
Early July, the 6th Lagrange Prize in Continuous Optimization was awarded to Francis Bach, head of the Sierra team at the Inria Paris centre, and to two of the team's former post-doctoral researchers.
How can we digitally recreate the unevenness of tree bark, sand or roughcasting in such a way that they appear natural? The answer comes from the MFX (Inria Nancy-Grand Est and Loria) and Maverick (Inria Grenoble) project teams, who worked together to develop an innovative algorithm capable of generating such patterns on surfaces. An upgrade on the previous standard in the field (Gabor Noise), Procedural Phasor Noise is set to be unveiled at the international conference SIGGRAPH 2019, and will enable users to generate complex patterns with previously unachievable levels of control. Designed for 3D printing, it will also make it easier to manufacture composite materials whose physical properties may vary depending on the direction.