Artificial intelligence: Grenoble is ready to welcome one of the institutes

Since January 2016, when it obtained the “Grenoble Alpes University IDEX”, the Grenoble site has engaged in a dynamic of structuring and integrating its academic and research stakeholders, closely associating economic partners and local and regional authorities.  The success of the Grenoble IDEX reflects the region's desire to coordinate in order to be ready to address the main challenges of society today - which include artificial intelligence. Among the proposals of the Villani report , the implementation of a research hub in AI on a world-class level - with the creation of specialised institutes - is an approach the Grenoble region wishes to strongly and rapidly commit to.

By building on its assets in hardware/software convergence and the richness of its ecosystem, Grenoble is committed to the development and deployment of AI.

Grenoble, which was mentioned by the President of the Republic on 29 March, can play the role of AI research hub, in strong themes where AI will play a decisive part, in particular in the fields of personalised healthcare/medical devices and the environment/energy. 

Grenoble's assets?

Benefiting from the projects that have already been launched within the framework of theIDEXsuch as the Cross Disciplinary Programmes « Data Institute » , « Life », « Trajectories » , « Cybersecurity Institute » , « Eco-SESA »  and « Circular » , bringing together expertise in digital technology, the engineering sciences and the human and social sciences, as well as from the PIA (Investments for the Future programme) projects such as the PERSYVAL-lab Labex and the technological research institute IRT Nanoelec. 

• Being capable of ensuring the hardware/software continuum by creating specialised systems for AI thanks to the design of specialised electronic components with, in particular, neuromorphic architectures (CEA, CNRS, Inria, Grenoble Alpes University, Grenoble INP).

• Being able to mobilise its economic ecosystem via competitiveness clusters (Tenerrdis and Minalogic,Lyon Biopôle and Imaginove) and application clusters in the field of healthcare (Medicalps) in collaboration with the major socio-economic actors.

• Being capable of building on training that has already been developed in the field of AI and in the fields of healthcare/medical devices and the environment/energy (GrenobleINP-Ensimag, GrenobleINP - Ense3, GrenobleINP – Phelma,Polytech Grenobleof Grenoble Alpes University, university schools in computer science and applied mathematics and the faculties of medicine and pharmacy of Grenoble Alpes University).

• Disposing of structures to facilitate partnerships between public research and actors from the socio-economic world strongly linked to AI, in particular IRT Nanoelec, and the Carnot Institutes Leti (Electronics and Information Technology laboratory - CEA),LSI (Intelligent Software and Systems-Grenoble Alpes University, CNRS, Grenoble INP), Energies du Futur (Energies of the Future - Grenoble INP, CEA-Liten, CNRS, Grenoble Alpes University, Savoie Mont Blanc University, INRA) and iC Inria.