People
Dr Pamela Ugwudike
Turing Fellow
Professor Alison Heppenstall
Turing Fellow
Professor Michael Wooldridge
Programme Co-Director for Artificial Intelligence, and Turing Fellow
Professor David De Roure
Turing Fellow
Dr Florian Ostmann
Policy Theme Lead, and Policy Fellow
Dr Michael Barnes
Turing Fellow
Professor Michael Catt
Turing Fellow
Professor Niels Peek
Turing FellowEvents
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
Turing Lecture: Glimpsing our AI future
Monday 28 Jan 2019
Time: 18:00 - 20:30
Artificial intelligence and society: In conversation with Jeff Sachs
Tuesday 23 Oct 2018
Time: 17:30 - 20:00
Turing Lecture: How smartphones and wearable technology can help in the care of chronic illnesses
Wednesday 10 Oct 2018
Time: 18:00 - 20:30
Turing Lecture: Machine learning and big scientific data benchmarks
Tuesday 02 Oct 2018
Time: 18:00 - 19:30
AI for traffic control
Friday 24 Aug 2018
Time: 10:00 - 14:30
People-centric AI for the built environment
Thursday 28 Jun 2018
Time: 15:30 - 16:30
Towards ambient intelligence in AI-assisted healthcare spaces
Tuesday 24 Apr 2018
Time: 18:00 - 19:00
Articles
The Turing publishes new landscaping report on data science, AI and futures of work
Today the Turing publishes a landscaping report: ‘Data science, artificial intelligence and the futures...
Tuesday 30 Oct 2018
Tackling challenges in AI, one robotic step at a time
As the University of Edinburgh unveil their multi-million pound new building, the Bayes Centre...
Wednesday 24 Oct 2018
Can data trusts be the backbone of our future AI ecosystem?
The interest in exploring the concept of ‘data trusts’ - a way of sharing...
Wednesday 03 Oct 2018
Sir Alan Wilson appointed Executive Chair of the Ada Lovelace Institute
Sir Alan’s first priority as Chair will be to lead an open recruitment process...
Monday 03 Sep 2018
Turing response to Theresa May's speech on revolutionising the health service by deploying AI in the NHS
In response to a speech Prime Minister Theresa May gave today in Macclesfield, The...
Monday 25 Jun 2018
Optimising flow within mobility systems with AI
The Turing and Toyota Mobility Foundation collaborate to modernise city planning and traffic management
Monday 25 Jun 2018
Revolutionising healthcare with AI and data science: UCLH and The Alan Turing Institute announce breakthrough partnership
The Alan Turing Institute is embarking on a programme of work with UCLH, one...
Monday 21 May 2018
Publications and software
The Geometry of Random Features
We present an in-depth examination of the effectiveness of radial basis function kernel (beyond...
K. Choromanski*, M. Rowland*, T. Sarlos, V. Sindhwani, R. Turner and A. Weller. The geometry of random features. In Artificial Intelligence and Statistics (AISTATS), 2018 [*equal contribution].
Performance Evaluation in Machine Learning: The Good, The Bad, The Ugly and The Way Forward
This paper gives an overview of some ways in which our understanding of performance...
Flach P. Performance Evaluation in Machine Learning: The Good, The Bad, The Ugly and The Way Forward (2018).
Retool AI to forecast and limit wars
Using artificial intelligence to predict outbursts of violence and probe their causes could save lives, argue Weisi Guo, Kristian Gleditsch and Alan Wilson, in this Nature article (scroll down for link)
Retool AI to Forecast and Limit Wars, W. Guo, K. Gleditsch, A. Wilson, Nature, vol. 562, 331-333, Oct 2018
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Automatically annotating column types with knowledge base (KB) concepts is a critical task to...
Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks and Charles Sutton (2019). ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
Data science, artificial intelligence and the futures of work
In this document, we offer a review of recent literature on the future of...
Ojanperä, Sanna, O'Clery, Neave, & Graham, Mark. (2018, October 24). Data science, artificial intelligence and the futures of work. Zenodo. http://doi.org/10.5281/zenodo.1475162
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings
Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In the paper...
Jiménez-Ruiz, E., Agibetov, A., Samwald, M., & Cross, V.V. (2018). Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings. CoRR, abs/1805.12402.
Handling Incomplete Heterogeneous Data using VAEs
Variational autoencoders (VAEs), as well as other generative models, have been shown to be...
A. Nazábal, P. M. Olmos, Z. Ghahramani, I. Valera "Handling Incomplete Heterogeneous Data using VAEs", Arxiv preprint, July 2018.
House of Lords Select Committee on Artificial Intelligence
Call for Evidence The Select Committee on Artificial Intelligence was appointed to consider the...
Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has...
Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Why a right to explanation of automated decision-making does not exist in the General Data Protection Regulation. International Data Privacy Law, 7(2), 76–99.