Section page Events from around the Turing Network Conferences, workshops, and other events from around the Turing Network Events from around the Turing Network
The Turing Lectures A series of inspiring talks by leading figures in data science and AI The Turing Lectures
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
Event PhD Connect 2024 Thursday 21 Nov 2024 - Friday 22 Nov 2024 Time: 09:00 - 18:00 PhD Connect 2024
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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Living with Machines A five-year research project that takes a fresh look at the well-known history of the Industrial Revolution using data-driven approaches
