Posterior bootstrap: A scalable approach to Bayesian non-parametric learning Providing an open-source tool to make non-parametric statistical inference faster and more accurate
Optimising analysis of network graphs Investigating how to optimise software that allows for the analysis of complex data networks on state-of-the-art processors
Sustainable infrastructures Combining reliable sensing technologies with online data analytics to improve real-time sustainability and resilience of infrastructures
Human-centric sensing Achieving flexible, economical, and large-scale human-in-the-loop sensing, such as mobile crowdsensing
Adaptive machine learning for changing environments Developing adaptive machine learning techniques that can adjust and guide the design, construction and maintenance of critical infrastructures
High performance, large-scale regression Investigating the effectiveness of distributed computer systems for running regression analysis, a process which determines the relationships between large numbers of variables
Predicting data centre system failures Analysing data centre resource use and failure logs to better understand how and when failures occur, and how best to mitigate them
Co-designing algorithms and computer architecture Designing hardware to suit the needs of data science algorithms, which will similarly be designed to suit the capabilities of the hardware
Webinar: Edge computing for Earth observation Tuesday 17 Mar 2020 Time: 10:00 - 18:00 Daniel Andre Kin K. Leung Michael Woollard Noa Zilberman Phillip Stanley-Marbell Pui Anantrasirichai Richard Walters Rob Mullins Sam Doody Tim Wright Victoria Nockles
Robotics and AI for health and social care Monday 28 Oct 2019 - Tuesday 29 Oct 2019 Time: 10:00 - 17:30 Alessandro Di Nuovo Borghese Nunzio Alberto Farshid Amirabdollahian Katrin Solveig Lohan Luc de Witte Praminda Caleb-Solly Ray Jones Amelia DeFalco Erica Palmerini Yoshio Matsumoto, Samia Nefti-Meziani
Secure computation with RAMs: revisiting square root ORAM and low leakage secure Boolean queries Tuesday 22 Aug 2017 Time: 18:37
Turing Lecture: Statistics, decision-making and privacy Monday 05 Dec 2016 Time: 13:30 - 17:00 Cynthia Dwork
Co-designing computing High-performance computing (HPC) environments such as data centres can be ill-equipped to deal with data science tasks, so Turing researchers collaborated with Intel to co-design better architecture for their HPC systems
Visualization How can we gain insight into ever-growing datasets and see the reasoning behind automated AI decision-making?
Tools, practices and systems Building open source infrastructure to empower a global, decentralised network of people who connect data with domain experts.
Research Engineering Connecting research to applications, helping create usable and sustainable tools, practices and systems.
Data science at scale Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.