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 Claire Morris Piotr Mirowski Beatriz Costa Gomes Christopher Windows-Yule Alexandros Zenonos Francisco Gomez Medina Mishka Nemes 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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Mathematics and data Thursday 12 Sep 2019 Time: 10:00 - 18:00 Alexander Gorban Felipe Rincon John Oprea Nati Linial Shay Moran
The future of test & evaluation in defence: AI and autonomy Wednesday 19 Jun 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
Digital twins for high-value engineering applications (DTHIVE) Developing digital twins for engineering applications using modelling, data, and connectivity
Digital twins for multiphase flow systems Integrating data, physics and machine learning to develop rapid predictive models for engineered multiphase flow systems
AI for control problems Using a competition platform to accelerate progress in data-driven control problems
Optimising hypertension management strategies Using smart algorithms to optimise treatment decisions in blood pressure management and reduce economic burden on healthcare providers
Safe AI for surgical assistance Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms
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
Critical infrastructures as a control system Developing smart data communication protocols to achieve robustness and resilience of complex critical infrastructures
Mathematics and data Thursday 12 Sep 2019 Time: 10:00 - 18:00 Alexander Gorban Felipe Rincon John Oprea Nati Linial Shay Moran
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
The future of test & evaluation in defence: AI and autonomy Wednesday 19 Jun 2019 Time: 10:00 - 17:30
Optimising the world’s first underground farm In the heart of London there is a farm like no other. It’s subterranean, sustainable and energy smart. It also has a digital twin looking out for its every need
The next step in precision agriculture Growing enough food for the world’s burgeoning population may require smart farms that can sense their crop conditions and feed themselves on demand, and Turing researchers are developing the technology they’ll need
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?