Thanks a lot +Stephen Hicks for sharing this photo of me speaking (and demoing some of +Thomas Whelan's latest 3D mapping work from the Dyson Robotics Lab). This was at the Royal Society "Transforming our Future: Machine Learning" meeting which happened in London on Friday. What a fantastic meeting and I was humbled to be speaking at it. To understand why, check out the line-up:
Dr Robert Ghanea-Hercock, BT
Dr Hermann Hauser CBE FRS, Amadeus Capital Partners
Keynote Lecture:
Professor Geoffrey Hinton FRS
Future Directions of Machine Learning:
Professor Zoubin Ghahramani FRS, University of Cambridge
Professor Christopher Bishop FREng, Microsoft Research Cambridge
Professor Steve Furber CBE FREng FRS, The University of Manchester
Simon Knowles, Xmos
Professor Simon Benjamin, University of Oxford
Dr Demis Hassabis, Google Deepmind
Professor Andrew Hopper CBE FREng FRS, University of Cambridge
Applications and Impacts of Machine Learning
Dr Miranda Mowbray, HP Labs Machine
Professor Andrew Davison, Imperial College London
Dr Simon Thompson, BT
Socioeconomic Impacts of Machine Learning (Panel Discussion)
Sir Malcolm Grant CBE, Chairman, NHS England
Professor Nick Bostrom, Future of Humanity Institute, University of Oxford
Professor Nick Jennings FREng, University of Southampton and Chief Scientific Advisor-National Security

The day was excellent throughout and I came home with pages of notes and things for further thought. I understand and hope that video of the event will be posted online at some point soon and I'll post a link to it if it is. The highlights for me were probably +Geoffrey Hinton's keynote on the history of deep learning (with the clear forward view that he thinks that the long-term potential of these methods is almost unlimited); Simon Knowles' presentation on why current processor technology his fundamentally unsuited to typical AI workloads and some hints on what XMOS are doing to create something better; and hearing directly from Nick Bostrom his very reasonable and well argued views on Superintelligence (all AI researchers should read his book) and to see serious discussion of these issues.
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