Artificial Inteligence
Bringing new and faster AI methods to
unconventional emerging applications
The AI research group is devoted not only to the application of advanced machine learning techniques in new relevant applications related to nanonetworking, but also to the development of novel acceleration techniques for emerging AI algorithms. As such, the group works in close collaboration to the rest of the groups of the center; with CHIPS to develop better hardware accelerators, with HUMAN to develop localization techniques for intra-body networks or to improve several medical applications related with Electroencephalogram (EEG) analysis, and with QUANTUM applying AI to develop better compilation techniques for quantum computers.
Albert Cabellos
Group Leader
Prof. Albert Cabellos, long-time scientific director of N3Cat and also founder of the Barcelona Neural Networking (BNN) Lab, brings his unique expertise to lead the AI group in N3Cat. Pioneer of the application of novel AI techniques such as Graph Neural Networks (GNNs) or topological learning in the domain of computer networks, he shares the ambition of the group, which is to apply these novel techniques in new and exciting application areas and to develop new hardware and software acceleration techniques for these novel AI workloads.