Turing Lecture: Is education AI-ready?
Wednesday 29 Jul 2020
Time: 15:00 - 16:30
Search
Machine learning
Clinical AI Summer School 2024
Tuesday 02 Jul 2024
Time: 10:00 - 16:00
Clinical AI Summer School
Thursday 20 Jul 2023
Time: 10:00 - 17:00
Interpretability, safety, and security in AI
Monday 13 Dec 2021 - Wednesday 15 Dec 2021
Time: 11:00 - 18:00
Atlas of AI
Wednesday 09 Jun 2021
Time: 12:00 - 13:00
The Turing Lectures: Engineering the future of medicine
Tuesday 08 Jun 2021
Time: 15:00 - 16:30
Robotics and AI for health and social care
Monday 28 Oct 2019 - Tuesday 29 Oct 2019
Time: 10:00 - 17:30
Machine learning and data challenges in ransomware and the cloud
Friday 07 Jun 2019
Time: 09:30 - 17:00
Towards Autonomous Robotic Systems Conference (TAROS)
Wednesday 03 Jul 2019 - Friday 05 Jul 2019
Time: 09:00 - 18:00
Projects
London Air Quality Impact
Maximising the impact of the London Air Quality project by demonstrating live pollution forecasting
DEFIANT - Drivers and Effects of Fluctuations in sea Ice in the Antarctic
One of the most ambitious observational campaigns aimed at understanding Antarctic sea ice variability.
Disease trajectories following a heart attack
Investigating the use of process mining techniques to understand disease pathways amongst 145 million hospitalisation records
Personalising treatment in type 2 diabetes
Developing and testing a decision support tool for primary care to optimise the selection of glucose-lowering therapy for people with type 2 diabetes
Learning machines – infrastructure for augmented intelligence
Developing infrastructure and methods for supporting continuous use of machine learning algorithms
Machines reading maps
Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data
Programmes
Publications and software
Statistical Predictions of Trading Strategies in Electronic Markets
We build statistical models to describe how market participants choose the direction, price, and...
Cartea, Álvaro and Cohen, Samuel N. and Graumans, Rob and Labyad, Saad and Sánchez-Betancourt, Leandro and van Veldhuijzen, Leon, Statistical Predictions of Trading Strategies in Electronic Markets (May 9, 2023). Available at SSRN: https://ssrn.com/abstract=4442770 or http://dx.doi.org/10.2139/ssrn.4442770
AI Assistants: A Framework for Semi-Automated Data Wrangling
Data wrangling tasks such as obtaining and linking data from various sources, transforming data...
Petricek, Tomas; van den Burg, Gerrit J. J.; Nazábal, Alfredo; Ceritli, Taha; Jiménez-Ruiz, Ernesto; Williams, Christopher K. I. "AI Assistants: A Framework for Semi-Automated Data Wrangling". IEEE Transactions on Knowledge and Data Engineering 2022
Data Study Group Final Report: UK Dementia Research Institute
Using machine learning to improve sleep habits in Dementia patients
Data Study Group team. (2022, July 5). Data Study Group Final Report: UK Dementia Research Institute. Zenodo. https://doi.org/10.5281/zenodo.6798769
Data Study Group Final Report: University of Strathclyde and Supergen Energy Networks Hub
Using machine learning to predict the onset of blackouts
Data Study Group team. (2022, January 5). Data Study Group Final Report: Entale. Zenodo. https://doi.org/10.5281/zenodo.5820436
Polygonal Unadjusted Langevin Algorithms
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. Lim, D-Y. & Sabanis, S. 2021. arXiv:2105.13937 [cs.LG]
Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets
Existing datasets for scoring text pairs in terms of semantic similarity contain instances whose...
Nicole Peinelt, Maria Liakata, Dong Nguyen (2019): Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets. Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019), pages 2792 - 2798.
tBERT – Topic Models and BERT Joining Forces for Semantic Similarity Detection
Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information...
Nicole Peinelt, Dong Nguyen, Maria Liakata (2020): tBERT - Topic Models and BERT Joining Forces for Semantic Similarity Detection. Proceedings of the 58th Conference of the Association for Computational Linguistics (ACL 2020), pages 7047-7055.
Data Study Group Final Report: Greenvest Solutions
Forecasting wind energy production using satellite data
Data Study Group team. (2021, February 11). Data Study Group Final Report: Greenvest Solutions. Zenodo. https://doi.org/10.5281/zenodo.4534349
Data Study Group Final Report: Dstl – Anthrax and nerve agent detector
Identification of hazardous chemical and biological contamination on surfaces using spectral signatures
Data Study Group team. (2021, February 11). Data Study Group Final Report: Dstl – Anthrax and nerve agent detector. Zenodo. https://doi.org/10.5281/zenodo.4534219
Articles
AI accurately predicts who will develop dementia in two years
Study shows machine learning can make predictions with 92 per cent accuracy
Thursday 16 Dec 2021
Researchers from The Alan Turing Institute awarded Turing AI Acceleration Fellowships
A number of outstanding researchers from The Alan Turing Institute, the national institute for...
Friday 27 Nov 2020
Why practical data analytics is still so painful... and how we can help
Datadiff Often an analyst is given a number of datasets from successive time periods...
Wednesday 06 May 2020
The Turing teams up with Cervest to help predict climatic events in data scarce regions
Cutting edge methodology designed to allow communities and organisations around the world to understand...
Monday 20 Apr 2020
AI transparency in financial services
Why, what, who and when?
Tuesday 18 Feb 2020
Ethics review recommends cautious, thoughtful and inclusive approach to using machine learning in children’s social care
What Works for Children’s Social Care is pleased to be publishing a review of...
Thursday 30 Jan 2020
Urban mobility innovations to get everyone moving
Metropolitan areas are complex entities with a diverse set of unique mobility challenges that...
Monday 11 Nov 2019
Events
Clinical AI Summer School 2024
Tuesday 02 Jul 2024
Time: 10:00 - 16:00
Clinical AI Summer School
Thursday 20 Jul 2023
Time: 10:00 - 17:00
Interpretability, safety, and security in AI
Monday 13 Dec 2021 - Wednesday 15 Dec 2021
Time: 11:00 - 18:00
Atlas of AI
Wednesday 09 Jun 2021
Time: 12:00 - 13:00
The Turing Lectures: Engineering the future of medicine
Tuesday 08 Jun 2021
Time: 15:00 - 16:30
Turing Lecture: Is education AI-ready?
Wednesday 29 Jul 2020
Time: 15:00 - 16:30
Robotics and AI for health and social care
Monday 28 Oct 2019 - Tuesday 29 Oct 2019
Time: 10:00 - 17:30
Towards Autonomous Robotic Systems Conference (TAROS)
Wednesday 03 Jul 2019 - Friday 05 Jul 2019
Time: 09:00 - 18:00
Machine learning and data challenges in ransomware and the cloud
Friday 07 Jun 2019
Time: 09:30 - 17:00
Impact stories
Demonstrating the power of AI in land use planning
Partnering with the Geospatial Commission to simulate the effects of planning decisions on residents’ quality of life
Understanding online abuse of Premier League footballers
The Online Harms Observatory uses machine learning to detect toxic content on social media
Reducing the carbon footprint of the shipping industry
An algorithm that lowers ships’ greenhouse gas emissions by planning the most fuel-efficient route through the waves
Providing COVID-19 expertise to the UK government
The Turing-RSS Health Data Lab delivered invaluable insights to the UK Health Security Agency throughout the pandemic
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
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
Augmenting clinical decision-making
Working with the Cystic Fibrosis Trust, Turing researchers have been developing machine learning methods that could dramatically improve the accuracy of clinical assessments of people with cystic fibrosis
Interest groups
Machine learning for radio frequency applications
How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?
Computer vision for digital heritage
What are the challenges and opportunities in using computer vision to investigate historical collections digitised as images?
Economic data science
How can new kinds of data allow us to tackle the full complexity of the socio-technical systems we create and inhabit?
Visualization
How can we gain insight into ever-growing datasets and see the reasoning behind automated AI decision-making?
Machine learning in finance
What are the key challenges of adopting artificial intelligence methods in the financial services industry?
Sustainable finance
How can data science techniques be deployed to align financial institutions with the goal of global environmental sustainability?
People
Kaiwen Zuo
Enrichment Student
Fangru Lin
Enrichment Student
Lukasz Bartoszcze
Enrichment Student
Xinyi Yuan
Enrichment Student
Viv Atureta
Enrichment Student
Yulu Pi
Enrichment Student
Calum Pennington
Enrichment Student
Haoyu You
Enrichment Student