Section page Events from around the Turing Network Conferences, workshops, and other events from around the Turing Network Events from around the Turing Network
Impact The Turing works with a range of partners with far-reaching, real-world impact across sectors Impact
The Turing Alphabet Introducing the Turing Alphabet: demonstrating the breadth of the Institute. The Turing Alphabet
Research projects Turing Research and Innovation Cluster in Digital Twins Turing Research and Innovation Cluster in Digital Twins
Research projects AI for Numerical Weather Prediction (NWP): AI4NWP Developing artificial intelligence algorithms to fundamentally transform weather forecasting and the prediction of local and global weather events AI for Numerical Weather Prediction (NWP): AI4NWP
A week in the life of a Data Study Group Watch the three part mini documentary series A week in the life of a Data Study Group
Research spotlight Premdeep Gill Enrichment student Premdeep Gill is studying Antarctic seals and their sea ice habitats through satellite data, to better understand how they are coping with climate change Premdeep Gill
Research spotlight Erin Young As co-lead of the Turing’s Women in Data Science and AI project, Research Fellow Erin Young’s vital research maps the gendered career trajectories in data science and AI Erin Young
Why work at the Turing? Find out some of the reasons why the Turing is a competitive employer Why work at the Turing?
Data Study Groups Events bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges Data Study Groups
Partnering with the Turing We work with a wide range of partners to help deliver our mission of changing the world using data science and artificial intelligence Partnering with the Turing
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Interpretability, safety, and security in AI Monday 13 Dec 2021 - Wednesday 15 Dec 2021 Time: 11:00 - 18:00 Hannah Fry Stuart Russell Cynthia Dwork Mihaela van der Schaar Yonina Eldar Aleksander Madry Curtis Langlotz Cynthia Rudin Emmanuel Candes Desmond Higham Manuela Veloso Marta Kwiatkowska Isaac Kohane Pushmeet Kohli Ben Adcock
Statistics and computation Monday 13 Jan 2020 - Tuesday 14 Jan 2020 Time: 10:00 - 17:00 Carola-Bibiane Schönlieb Caroline Uhler Florent Krzakala Francis Bach Garvesh Raskutti Jean-Philippe Vert Lorenzo Rosasco Madeleine Udell Peter Bartlett Rebecca Willett Tamara Broderick Vitaly Feldman
Wind behaviour prediction for protection of infrastructure Predicting and warning extreme wind behaviour to improve public safety and protect key infrastructure
Detecting hazardous physical activity Using human action detection to monitor safety in hazardous or physically demanding situations, such as escalator use and offshore wind turbine work
Research publications Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Exciting new work on generalization bounds for neural networks (NN) given by Bartlett et... Sanyal, Amartya & Torr, Philip & Dokania, Puneet. (2019). Stable Rank Normalization for Improved Generalization in Neural Networks and GANs.
Research publications Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping Consider an unknown smooth function f:[0,1]d→R, and say we are given n noisy mod... M. Cucuringu, H. Tyagi, "Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping", arXiv:1803.03669 (2018), accepted to Journal of Machine Learning Research (JMLR)
Interpretability, safety, and security in AI Monday 13 Dec 2021 - Wednesday 15 Dec 2021 Time: 11:00 - 18:00 Hannah Fry Stuart Russell Cynthia Dwork Mihaela van der Schaar Yonina Eldar Aleksander Madry Curtis Langlotz Cynthia Rudin Emmanuel Candes Desmond Higham Manuela Veloso Marta Kwiatkowska Isaac Kohane Pushmeet Kohli Ben Adcock
Statistics and computation Monday 13 Jan 2020 - Tuesday 14 Jan 2020 Time: 10:00 - 17:00 Carola-Bibiane Schönlieb Caroline Uhler Florent Krzakala Francis Bach Garvesh Raskutti Jean-Philippe Vert Lorenzo Rosasco Madeleine Udell Peter Bartlett Rebecca Willett Tamara Broderick Vitaly Feldman
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?