Antoine PETIT Chairman and CEO Inria

SCIENCE AT INRIA

NETWORKS AND CONNECTED OBJECTS

MODELS AND SIMULATION

SAFETY, RELIABILITY

HIGH-PERFORMANCE COMPUTING, CLOUD

DATA PROCESSING

PROGRAMMING ROBOTICS INTERACTIONS, INTERFACES AND USAGE

National Research Organisation under the dual authority of the Ministry of Research and the Ministry of Industry Information and Communication Science and Technologies

OUR MOTTO

Scientific excellence for technology transfer and society

SOCIO-ECONOMIC AREAS OF APPLICATION SOCIO-ECONOMIC AREAS OF APPLICATION

RESEARCH CENTERS

Centers

Satellites

Saclay Ile-de-France

Rennes Bretagne Atlantique

Bordeaux Sud-Ouest

Lille Nord Europe

Paris

Nancy Grand est

Grenoble Rhône-Alpes

Sophia Antipolis Méditerranée

Nantes

Pau

Montpellier

Lyon

Strasbourg

2,600 staff

4,400 staff

INRIA, IT’S ALL ABOUT PEOPLE

1700 scientists

2600 Inria

900 support

1800 Partners

1700 scientists 100

support

50 ERC SINCE 2007

Semantic Web – S. Abiteboul

Machine Learning : F. Bach, J. Mairal Computer Vision & Signal Processing: C.Schmid, I. Laptev, J. Sivic, J. Ponce, H. Jegou,

C. Guillemot, R. Gribonval

Social Networks: A-M. Kermarec

Medical Imaging: N. Ayache, S. Durrleman

Some ERC in the scope of Data-Driven R&D

SOME RECENT STARTUP

Wireless and mobile acquisition systems,

live capture of performance indicators

Operating theatre contact-free interfaces

Video synthesis of crowds for cinema

Brain and neurophysiological interfaces

Preservation of the heritage

JOINT LABS

IN THE WORLD

11

Canada

8

80 active associate teams

USA

37

9 Chile

Senegal 1

Tunisia 1

Brazil

9

India 5

1 China

1 Hong Kong

4

Taiwan Japan 3

Australia 1

NATIONAL STRATEGIC INITIATIVES

ICODA – Fact- Checking & Data Journalism : knowledge-mediated Content and Data Interactive Analytics

CAPPRIS: Data Security & Privacy TransAlgo: Transparency and Trust

DATAIA: Interdisciplinary Institute for Data Science, Intelligence & Society

HPC – BIG DATA (under construction)

In the scope of Data-Driven R&D

INRIA STRATEGIC PLAN SCIENTIFIC CHALLENGES

Extreme-scale computing for data intensive science

Data science for everyone

Scaling up for IoT

Digital learning for education and training

Trusted co-adaptation of humans and AI-based systems

In the scope of Data-Driven R&D

THANK YOU