October 21, 2024 marked the launch of the INFORMED-AI Hub at the M-Shed, Bristol’s museum of society and history. The one-day event highlighted the research agenda for this Hub: to understand ideas and methods for large-scale distributed information processing tasks, driving the next generation of resilient and robust AI technologies. Our speakers showcased the research work that will underpin the Hub activity over the next 5 years
The speakers – leading academic and industry experts – included INFORMED-AI investigators Oliver Johnson (University of Bristol), Jonathan Lawry (University of Bristol) and Neil Walton (Durham University).
Topics of discussion included innovations in quantum network scheduling, information-theoretic principles behind the Central Limit Theorem, and social learning in collective decision-making.
Program here containing titles and abstracts of these talks.
Hub Partners
Hub partners DSTL (represented by Chris Swinerd) and Cambridge Consultants (represented by Joseph Tedds) also provided insights into the practical implications of INFORMED-AI’s work in quantum technologies and its impact on the future of British security infrastructure.
The event was capped with a keynote speech on the graph alignment problem, an unsupervised learning task with applications from neuroscience to social network de-anonymization by Laurent Massoulié, director of the INRIA Paris Research Centre and chair holder at the Prairie Institute. Beyond the academic and research team, attendees included junior and senior researchers, representatives from government bodies and industries from around the country. The sessions provided excellent opportunities for discussions spanning interdisciplinary approaches to distributed information processing tasks.
Director Professor Sidharth Jaggi: “It was exciting to see on display some of the broad and deep array of expertise, both mathematical and application-oriented, of members and partners of the INFORMED-AI Hub, and the enthusiasm of the participants — it bodes well for the future of the Hub as a platform for the exchange of ideas and methods for distributed AI. Since the research agenda is itself to understand ideas and methods for large-scale distributed information processing tasks, arguably the enthusiasm for such interaction as on the launch day event was baked into the DNA of the Hub!”
The INFORMED-AI Hub welcomes collaboration with the ambition to shape the future of distributed intelligence.
To get in touch with the Hub and find out more about the research please email informed-ai@bristol.ac.uk or follow us on LinkedIn: Informed-AI Hub