NEXT STAGE AI

Axis 1. Machine learning and reasoning

1.1. Machine learning models

• 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. Statistics and optimization

• Large Dimensional Statistics for AI - Couillet
• High-dimensional Inference by Convex Optimisation - Juditsky (Local) & Nemirovski (International)
• Optimisation & Learning - Malick (Local) & Nesterov (International)

1.3. Fair and evolvable AI

• Explainable and Responsible AI - Loiseau & Rousset
• Knowledge communication and evolution - Euzenat

Axis 2. Embedded and distributed AI and hardware architecture for AI

2.1. Neuro-processing units

• Hardware for spike-coded neural networks exploiting hybrid CMOS non-volatile technologies - Anghel & Valentian
• Digital Hardware AI Architectures - Pétrot

2.2. Distributed intelligence 

• Edge intelligence - Trystram

Axis 3. Perception & interaction

3.1. Robotics

• 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. Natural language and speech processing

• Artificial Intelligence & Language - Besacier
• Bayesian Cognition and Machine Learning for Speech Communication - Perrier

3.3. Computer vision

• Data Driven 3D Vision - Boyer
• Towards self-supervised visual learning - Schmid

AI FOR HUMAN BEINGS AND THE ENVIRONMENT

Axis 4. AI & society

4.1. AI regulation

•  Legal and regulatory implications of artificial intelligence - Christakis
• Ethics and AI - Ménissier

4.2. Integration of AI into society

• Contextual Recommendations in Action - Bridging AI and Real-Life Economics - Amer-Yahia
• Algorithmic society - Bastin

Axis 5. Health

5.1. Real-life 4P medecine

• Deep Care: Patient Empowerment via a Participatory Health Project - Cinquin
• My Way to Health “trajectories medicine” - Mignot (International) & Pépin (Local)

5.2. Multimomics

• Artificial Intelligence for High throughput biomedical investigations - Blum (AI) & Thévenon (Medicine)

5.3. Computer-assisted medical intelligence

• Computer-Assisted Medical Interventions (CAMI) Assistant - Troccaz & Voros

Axis 6. Environment & energy

6.1. AI solutions for natural disasters

• 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. Optimising energy management

• Artificial intelligence for Smart Grids - Hadj-Said (Energy) & Leclerc-Samson (AI) - funded by Univ. Grenoble Alpes

Axis 7. Industry 4.0

7.1. Human-centric manufacturing

• AI for data-driven and self-configurable supply chains - Alpan

7.2. Predictive quality

• Machine Learning for Materials Design & Efficient Systems - Amini (AI) & Deschamps (Material science)