Understanding AI: Definition and Introduction to Machine Learning

Date/Time:
Thursday 21 June 2018, 5.30pm - 8.30pm

Venue: The Palmerston Lecture Threatre, Southampton Solent University, East Park Terrace, Southampton, SO14 0RD

Cost: Free

This event is a joint event by BCS Hampshire, BCSWomen, Animation and Games, Business Change e-learning and YPG

Details:

Nadia AbouayoubNadia Abouayoub is a member of the British Computer Society’s (B.C.S.) Artificial Intelligence Specialist Group Committee (S.G.A.I.) and the B.C.S. Women’s Group. She has an MSc. in Computing and DESS in A.I. and Databases from the University of Dijon, and an MSc. in Formal Methods and the Security of Systems from Royal Holloway, University of London. She has been a member of several committees aiming to empower youth and women, most especially in the finance and new technology sectors. One such initiative saw her organise a VISIO conference with NASA for the World Youth Congress in 2004 to enable participants experience the intricacies of robot navigation and the exploration of Mars.

She is the co-organiser of the Machine Intelligence Competition, run by the S.G.A.I.; and has organised a number of workshops aimed at educating the general public about Artificial Intelligence. She has a personal interest in the United Nations Millennium Development Goals for which she has organised many volunteer workshops.

She launched her graduate career with JP Morgan, and has accrued more than 15 years’ experience within the investment banking sector in such fields as Risk Management, Product Control and Technology in Trading Applications. She is currently a Strategist and Improvement Lead.

Professor Adrian Hopgood, University of Portsmouth, on Hybrid Systems for Practical Artificial Intelligence. A wide range of techniques has emerged from the field of artificial intelligence including rules, frames, model-based reasoning, case-based reasoning, Bayesian updating, fuzzy logic, multiagent systems, swarm intelligence, genetic algorithms, deep learning, and neural networks. They are all ingenious and useful in narrow contexts. It will be argued in this presentation that a truly intelligent system needs to draw on a variety of these approaches within a hybrid system. Five distinct ways to enhance or complement one technique with another will be identified. Several practical examples of hybrids will be presented, ranging from medical diagnosis to the control of specialised manufacturing processes.

Adrian Hopgood is Professor of Intelligent Systems and Director of Future & Emerging Technologies at the University of Portsmouth.

He is also a visiting professor at the Open University and an affiliated professor of the University of Liège in Belgium. He is a Chartered Engineer, Chartered Scientist, Chartered IT Professional, Fellow of the BCS (British Computer Society), and a committee member for the BCS Specialist Group on Artificial Intelligence. Adrian has extensive experience in both academia and industry. He has worked at the level of Dean and Pro Vice-Chancellor in four universities in the UK and overseas, and has enjoyed technical roles with Systems Designers (now part of Hewlett-Packard) and the Telstra Research Laboratories in Australia.

Adrian's main research interests are in artificial intelligence and its practical applications. He has supervised 18 PhD projects to completion and published more than 100 research articles. His text book "Intelligent Systems for Engineers and Scientists" is ranked as a bestseller. The third edition was published by Taylor & Francis in 2012.

Presentation

PDF Icon Hybrid Systems for Practical Artificial Intelligence - Adrian Hopgood