Venue: Engine Shed
Speaker: Nigel Toon & Jim Smith
7.30pm Main Talk
This event is now fully booked.
This talk on Machine Learning & AI (Artificial Intelligence) and will examine how the capability of the underlying technology is rapidly increasing and what this could mean for potential applications and the impact on people.
Nigel Toon is co-founder and Chairman & CEO of Graphcore Ltd. Graphcore is a new silicon and systems company based in Bristol, UK and Palo Alto, USA that has developed the Intelligent Processing Unit to accelerate machine learning and AI applications.
Nigel was CEO of two VC-backed silicon companies before founding Graphcore; Picochip, which was sold to Mindspeed in 2012 and most recently, XMOS, in which Graphcore was incubated for two years before being established as a separate entity in 2016. Before that he was co-founder of Icera, a 3G/4G cellular modem chip company, where he led Sales and Marketing and was on the Board of Directors. Icera was sold to NVIDIA in 2011 for $435M. Prior to Icera, he was Vice President and General Manger at Altera Corporation where he spent 13 years and was responsible for establishing and building the European business unit that grew to over $400m annual revenues. He is the author of 3 patents, is chairman of the Board of Directors at XMOS Ltd and a non-executive director at Imagination Technologies PLC.
Professor Jim Smith is Professor of Interactive Artificial Intelligence at the University of the West of England (UWE). After taking an MA.in Electrical Sciences from Cambridge University, he worked in various industrial sectors before returning to academia at UWE, where he took his PhD and now leads the Artificial Intelligence Research Group. He has published extensively on many aspects of theoretical and applied Artificial Intelligence, works which have been cited over 8000 times and have won awards such as the 2001 ACM-SIGEVO prize for papers which are ‘deemed to be seminal’. He has led a number of successful projects concerning the hybridisation of metaheuristic approaches with machine learning, and mathematical approaches funded by the EC, EPSRC, governmental agencies from the UK, US and Brazil, and commercial partners.
Recently his research has increasingly focussed on collaborative human-machine problem-solving, and how machines can deal with the fact that people are not oracles”, but rather are fallible, prone to fatigue and distraction, and are themselves adaptive - often changing their judgements or opinions as their experience changes.