Digital Twins: The Next Phase of the AI Revolution?

Duration: 1 hr 35 mins
Publication date: 17 Feb 2020
Part of series The Turing Lecture Series

Abstract

The idea of an Intelligent Digital Avatar conjures up many images from a complete virtual world that one can safely define, develop and play in to rogue robots running amok and destroying mankind. The reality is much less dramatic but no less far reaching and exciting.

This year’s Turing Talk will be delivered by Mark Girolami; an academic statistician and the Sir Kirby Laing Professorship of Civil Engineering at the University of Cambridge.

Mark will discuss Digital Twins and chart their history to present day technological capability, looking at some of the advances being made and the opportunities along with the open challenges faced to realise the potential of Digital Twins.

Keywords:: AI

Air quality

Alan Turing Institute

Ciy of London

Cloud

Data

Data driven

Digital Twin

EngTalk

Engineering

Internet of Things

IoT

Pollutants

Satellite

Technology

Traffic

Weather

Channels

Prestige Lectures

Speakers

Dr Ruth Boumphrey

Lloyd's Register Foundation, Director of research
Dr Theo Damoulas

The Alan Turing Institute, Deputy programme Director for Data-Centric Engineering

Theo Damoulas is an Associate Professor in Data Science with a joint appointment in Computer Science and Statistics at the University of Warwick. He is the Deputy Director of the Data-Centric Engineering program and an inaugural Turing Fellow at The Alan Turing Institute. He is also affiliated with NYU as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP). Before joining the University of Warwick, he was a Research Assistant Professor at NYU and before that a Research Associate at Cornell University in the Department of Computer Science. He holds a PhD (2009, CS Distinguished Dissertation Award) from the University of Glasgow, an MSc (2004, Distinction) from the University of Edinburgh, and an MEng (2003, 1st Class) from the University of Manchester. His area of expertise is statistical machine learning and Bayesian inference.
Mark Girolami

The Alan Turing Institute , Programme Director for Data-Centric Engineering

Mark Girolami is an academic statistician who worked with IBM for ten years as a Chartered Engineer. In March 2019 he was elected to the Sir Kirby Laing Professorship of Civil Engineering (1965) within the Department of Engineering at the University of Cambridge. He also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering at Cambridge. Girolami takes up the Sir Kirby Laing Chair upon the retirement of Professor Lord Robert Mair. Prior to joining the University of Cambridge Professor Girolami held the Chair of Statistics in the Department of Mathematics at Imperial College London.The research of Professor Girolami lies at the intersection of the Statistical, Mathematical, and Computing Sciences, where he has made major contributions to the development of Machine Learning and applications in the Engineering and Natural Sciences.He was one of the original founding Executive Directors of the Alan Turing Institute the UK’s national institute for Data Science and Artificial Intelligence, after which he was appointed as Strategic Programme Director at Turing, where he established and continues to lead the Lloyd’s Register Foundation Programme on Data Centric Engineering. Professor Girolami is an elected fellow of the Royal Society of Edinburgh, he was an EPSRC Advanced Research Fellow (2007-2012), an EPSRC Established Career Research Fellow (2012-2018), and a recipient of a Royal Society Wolfson Research Merit Award.He delivered the IMS Medallion Lecture at the Joint Statistical Meeting 2017, and the Bernoulli Society Forum Lecture at the European Meeting of Statisticians 2017. Professor Girolami currently serves as the Editor-in-Chief of Statistics and Computing and the new open access journal Data Centric Engineering published by Cambridge University Press.

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