The AI & ML Research Group in the Department of Computer Science cordially invites you to a "showcase" event that will 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).
The Department of Computer Science has significantly grown its AI & ML Research Group, and this event will offer the opportunity to learn more about the key science, meet specialists from across a number of topic areas, explore the potential for collaboration and perhaps gain a sense of why machine learning technology is proving to be so “unreasonably effective”.
The day will be organised around a series of carefully curated presentations designed to educate, inform and even entertain: general tutorial-style talks, a deeper dive into some key ML themes, and a number of short talks that demonstrate the technologies in action.
This event is aimed at all staff at the University of Bath with an interest in machine learning and with a view to potential future collaboration.
What is machine learning? What can it do… for me?
There will be generous opportunities for networking and informal discussion over coffee and lunch breaks, and a detailed agenda is outlined below.
Please register for this free event to ensure that we know how many to cater for (lunch is provided). It is also recommended to register early to avoid disappointment — the showcase is expected to be popular, and The Singularity may be closer than we think.
9:45am Arrival, tea, coffee and pastries
10am Welcome & Introduction: The Unreasonable Effectiveness of Machine Learning - Mike Tipping
10.20am What is Machine Learning? - Tom Fincham Haines
10.55am Coffee break & networking
11.15am What Machine Learning Can Do for You - Neill Campbell
11.50am Reinforcement Learning - Özgür Şimşek
12.20pm Short Talks:
- Machine Learning in Physics - Georgios Exarchakis
- Physically-informed and Operational Machine Learning - Andy Barnes
12.45pm Lunch break & networking
1.30pm What is GPT, and How Can You Use It? - Harish Tayyar Madabushi
2.00pm Short Talks:
- How are Images Generated Using ML? - Vinay Namboodiri
- Machine Learning, Bayesian Inference, and Their Applications - Xi Chen
2.30pm Coffee break & networking
2.45pm ML for Neurotechnology and Brain-Computer Interfaces - Damien Coyle
3.15pm How Machines Became Intelligent Without Thinking in a Human Way - Nello Cristianini
4-4.30pm Networking & drinks