Les chaires de MIAI Grenoble Alpes

Axe 1. Apprentissage et raisonnement

1.1. Modèles de machine learning
  • Towards Robust and Understandable Neuromorphic Systems - Achard (AI) & Mermillod (Cognitive science)
  • Lifelong Representation Learning - Larlus & Perronnin
  • Towards More Data Efficiency in Machine Learning - Mairal
1.2. Statistiques et optimisation
  • Large Dimensional Statistics for AI - Couillet
  • High-dimensional Inference by Convex Optimisation - Juditsky (Local) & Nemirovski (International)
  • Optimisation & Learning - Malick (Local) & Nesterov (International)
1.3. Equité et évolutivité de l'IA
  • Explainable and Responsible AI - Loiseau & Rousset
  • Knowledge communication and evolution - Euzenat

Axe 2. Architectures embarquées et matérielles pour l'IA

2.1. Unités de neuro-traitement
  • Hardware for spike-coded neural networks exploiting hybrid CMOS non-volatile technologies - Anghel & Valentian
  • Digital Hardware AI Architectures - Pétrot
2.2. Intelligence distribuée
  • Edge intelligence - Trystram

Axe 3. Perception & interaction

3.1. Robotique
  • Audio-visual machine perception and interaction for companion robots - Alameda-Pineda & Horaud
  • Collaborative Intelligent Systems - Bailly (Cognitive robotics) & Crowley (AI)
  • AI and dynamical systems: new paradigms for control and robots - Prieur
3.2. Langage naturel et traitement de la parole
  • Artificial Intelligence & Language - Besacier
  • Bayesian Cognition and Machine Learning for Speech Communication - Perrier
3.3. Vision par ordinateur
  • Data Driven 3D Vision - Boyer
  • Towards self-supervised visual learning - Schmid

Axe 4. IA & société

4.1. Réglementation de l'IA
  • Legal and regulatory implications of artificial intelligence - Christakis
  • Ethics and AI - Ménissier
4.2. Intégration de l'IA dans la société
  • Contextual Recommendations in Action - Bridging AI and Real-Life Economics - Amer-Yahia
  • Algorithmic society - Bastin

Axe 5. Santé

5.1. Médecine 4P "real-life"
  • Deep Care: Patient Empowerment via a Participatory Health Project - Cinquin
  • My Way to Health “trajectories medicine” - Mignot (International) & Pépin (Local)
5.2. Multimomique
  • Artificial Intelligence for High throughput biomedical investigations - Blum (AI) & Thévenon (Medicine)
5.3. Intelligence médicale assistée par ordinateur
  • Computer-Assisted Medical Interventions (CAMI) Assistant - Troccaz & Voros

Axe 6. Environnement et énergie

6.1. Solutions en IA pour les catastrophes naturelles
  • Detection, classification and localisation of pollutants in air and liquids - Barthelmé & Comon
  • Geophysical applications of AI for natural hazard and georesources - Campillo (Geophysics) & Michel (AI)
  • Multiscale, multimodal and multitemporal remote sensing - Chanussot (AI) & Thuiller (Ecology)
6.2. Optimisation de la gestion de l'énergie
  • Artificial intelligence for Smart Grids - Hadj-Said (Energy) & Leclerc-Samson (AI) - Financé par Univ. Grenoble Alpes

Axe 7. Industrie 4.0

7.1. Fabrication centrée sur l'humain
  • AI for data-driven and self-configurable supply chains - Alpan
7.2. Qualité prédictive
  • Machine Learning for Materials Design & Efficient Systems - Amini (AI) & Deschamps (Material science)