AI for control problems Using a competition platform to accelerate progress in data-driven control problems
Decision-making under uncertainty in air traffic control Investigating machine learning methods to support air traffic controllers
Bringing the social city to the smart city Using AI and machine learning to understand and simulate cities
Safe AI for surgical assistance Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms
AI and inclusion Seeking to understand the design and deployment of AI and inclusion to benefit those with disabilities, which will also provide digital accessibility for all members of society
Simulating cities with AI agents Developing new approaches for modelling human behaviour in cities, for simulating urban dynamics
Performance tuning of systems Investigating how to automate performance tuning of systems, where parameter space is high-dimensional and complex
Adaptive machine learning for changing environments Developing adaptive machine learning techniques that can adjust and guide the design, construction and maintenance of critical infrastructures
Data-driven design of civic infrastructure Developing a new data-mining algorithm to automate the design process for large civil infrastructure and urban transportation projects
Artificial intelligence (Multi-agent systems) Developing the techniques to enable AI systems to effectively interact with each other: autonomously and safely cooperating, coordinating, and negotiating in the furtherance of our delegated goals.
Urban analytics Developing data science and AI focused on the process, structure, interactions and evolution of agents, technology and infrastructure within and between cities
Turing Lecture: Building dynamic robots Tuesday 22 Sep 2020 Time: 15:00 - 16:30 Marc Raibert Sethu Vijayakumar
Creativity and design in AI Monday 18 Nov 2019 Time: 15:00 - 17:30 Dr Vahid Moosavi Dr S. M. Ali Eslami
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
Reinforcement and mean-field games in algorithmic trading Wednesday 27 Mar 2019 Time: 14:00 - 16:00 Prof. Sebastian Jaimungal
Putting the AI in air traffic control The UK’s leading air traffic control provider, NATS, has teamed up with the Turing to explore how the industry can evolve with machine learning
Precision dementia medicine How can we harness the power of data science and artificial intelligence to combat dementia and promote brain health?
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?
Multi-agent systems How can research in multi-agent systems help us to address challenging real-world problems?
Economic data science How can we use modern computational and statistical methods to analyse economic data?