The Pervasive Artificial Intelligence Lab develops cutting-edge research at the crossroads of Artificial Intelligence, Cloud/Edge/IoT, HPC, Machine Learning and Pervasive computing. In particular, but not exclusively, the lab is focused on the following research themes:
- Adaptive placement of applications on the Cloud-Iot continuum
- AI-on-Cloud, AI-for-the-Cloud, AIaaS
- Algorithms, software and hardware platforms for high-performance and scalable processing of AI and ML models
- Continuous reasoning on Cloud-IoT applications
- Cybersecurity in ML
- Design and development of algorithms, models and software for AI and ML
- Distributed and embedded AI and learning
- Distributed, embedded and in-silico neural computation
- Federated learning
- Deep graph networks in pervasive AI applications
- Intelligent IoT and cyberphysical systems
- Learning on streaming data and continual learning
- Multi-agents systems in pervasive computing
- Methods, algorithms and systems for human-aware, secure and safe AI in pervasive computing scenarios
- Learning at-the-edge
- Trustworthy AI