The Turing Lectures: Mathematics – Professor Stéphane Mallat: High-Dimensional Learning and Deep Neural Networks

Click the below timestamps to navigate the video.

00:00:07 Welcome by Professor Andrew Blake, Director, The Alan Turing Institute
00:01:36 Introduction by Professor Jared Tanner
00:03:21 Professor Stéphane Mallat: High-Dimensional Learning and Deep Neural Networks
00:49:53 Q&A

The first set of Turing Lectures took place on March 2 with a focus on Mathematics one of the foundations of Data Science. An exciting pair of lectures were delivered by Professors Stéphane Mallat and Mark Newman who considered recent advances in Data Science from a mathematical perspective. Deep Learning and Complex Networks have made the headlines in the scientific and popular press of late, and this Turing Lecture event provided an overview of some of the most recent influential advances in both of these areas.

The Alan Turing Institute is the UK’s National Institute for Data Science.

The Institute’s mission is to: undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering; provide technically informed advice to policy makers on the wider implications of algorithms; enable researchers from industry and academia to work together to undertake research with practical applications; and act as a magnet for leaders in academia and industry from around the world to engage with the UK in data science and its applications.

The Institute is headquartered at The British Library, at the heart of London’s knowledge quarter, and brings together leaders in advanced mathematics and computing science from the five founding universities and other partners. Its work is expected to encompass a wide range of scientific disciplines and be relevant to a large number of business sectors.

For more information, please visit: https://turing.ac.uk

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