DIF ON DEMAND Maybe the Robot Invasion Is a Good Thing

Live studio session

  • Add to Calendar 21/11/2017 17:00 21/11/2017 17:45 Europe/London Maybe the Robot Invasion Is a Good Thing - DIF 2017 Online at thinkdif.co Ellen MacArthur Foundation no-reply@ellenmacarthurfoundation.org false DD/MM/YYYY

The Disruptive Innovation Festival is an online festival of ideas that asks the question: what if we could redesign everything? During the DIF, we’ll be asking our speakers to tell us what they think is in store for the future of the economy. While watching you can chip in with your thoughts and questions: sign up for a free My DIF account and ask your question through the discussion forum below the live stream!

Maybe the robots will round us up in internment camps, or maybe we'll be sipping cocktails by the pool while our gadgets sweep our streets and stock our shops. Find out why robotics researcher, Dr Subramanian Ramamoorthy prefers to think the future will contain more of the latter than the former.




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Speaker(s)

Dr Subramanian Ramamoorthy

Reader (Associate Professor), School of Informatics, University of Edinburgh

Dr. Subramanian Ramamoorthy is a Reader (Associate Professor) in the School of Informatics, University of Edinburgh, and a Vice President at FiveAI, a UK-based startup company focussing on technology for autonomous driving. Within the School of Informatics, he is a Coordinator of the EPSRC Robotarium Research Facility, Executive Committee Member for the Edinburgh Centre for Robotics and at the Bayes Centre. He received his PhD in Electrical and Computer Engineering from The University of Texas at Austin in 2007. He is an elected Member of the Young Academy of Scotland at the Royal Society of Edinburgh, and has been a Visiting Professor at Stanford University and the University of Rome “La Sapienza”. His research focus is on robot learning and decision-making under uncertainty, addressed through a combination machine learning techniques with emphasis on issues of transfer, online and reinforcement learning as well as new representations and analysis techniques based on geometric/topological abstractions.


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