Semantic AI - the forgotten methods
Speaker: Professor Robert Desimone, Director Commercialisation of Quantum Technology, Plantagenet Systems and Visiting Professor, Quantum System Engineering, Loughborough University
This talk explores how semantic AI methods can enhance existing (statistical) AI methods, such as neural networks and generative AI. Back in the 1980s and 90s, semantic and statistical AI methods were both in vogue and on par with each other. Since the 2010s, deep learning and (more recently) generative AI have both been funded massively by Tech companies and are delivering great change.
Professor Desimone will start with a brief history of emerging semantic and statistical AI, showing how semantic AI can address some of the emerging limitations of statistical AI methods (with use cases/examples from cyber threat assessment/management). He'll finish by highlighting how emerging quantum computing techniques could put AI techniques (statistical/semantic) on steroids and offer great promise for the future.
About the Speaker
Roberto Desimone has pursued research and innovation for over 40 years in artificial intelligence (AI), machine learning (ML), and quantum computing, especially for applications to military decision-making for command/control and intelligence; global crisis response management/wargaming; cyber/financial threat analysis/mitigation; and dynamic logistics scheduling.
He was also a Royal Society Entrepreneur in Residence (EiR) within the Quantum Engineering Technology Lab at Bristol University (2019-22) and is currently a visiting professor in Quantum Systems Engineering at Loughborough University He was a visiting professor in AI at Cranfield University (2002-09).
Please register for this talk as it helps with the rooming and refreshment arrangements and allows us to contact you should there be any changes to the talk details.
Tea and coffee will be available but please arrive early. Talks start at 7.30 pm, followed by Q&A and finishing by 9 pm.
This talk is co-sponsored by the University of Worcester, School of Science and the Environment.
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