The Artificial Intelligence & Machine Learning Research Group in the Department of Computer Science cordially invites you to a series of talks that will explain, explore, and demystify the technology that everyone is talking about: machine learning.
The media reports almost daily on the latest developments in “artificial intelligence” (AI), quite often on its front pages. Almost without exception, everything heralded as an “AI breakthrough” is driven by a set of underlying models and algorithms that are collectively known as “machine learning” (ML).
These talks will offer the opportunity to learn more about the various aspects of machine learning from specialists across a number of topic areas. They are designed to educate, inform, and even entertain. The talks will be aimed at a broad audience: all staff and students are invited to attend.
To find out more about each talk and to register, please follow the links below:
The Irresistible Rise of Machine Learning
Prof Mike Tipping
13 December 2023 13:15–14:05 CB 2.6
Reinforcement Learning and the Pursuit of Artificial Intelligence
Prof Özgür Şimşek 14 February 2024 (Location TBD)
No Free Lunches in Machine Learning
Prof Neill Campbell
28 February 2024 (Location TBD)
AI for Human Sensing: Research, Productisation and Ethics Prof Darren Cosker
20 March 2024 (Location TBD)
Emergent Abilities of Language Models: Do they pose an existential threat?
Dr Harish Tayyar Madabushi
17 April 2024 (Location TBD)
Bayesian Inference in Machine Learning: Indistinguishable from Magic?
Prof Mike Tipping
8 May 2024 (Location TBD)
The Shortcut: How machines became intelligent without thinking in a human way
Prof Nello Cristianini 15 November 2023 13:15–14:05 CB 2.6
Understanding Deep Learning — The Technology Behind Modern AI Prof Simon Prince
11 October 2023 13:15–14:05 CB 1.11
The Unreasonable Effectiveness of Machine Learning (in pretty much everything?)
A showcase event
15 September 2023 10:00-16:30 CB2.6