Thursday 25th June 2020 2pm – 4.30pm
(This is a Virtual Event – please register and instructions on how to join will follow closer to the event)

We are amid an information revolution, where advances in science and technology, as well as the day-to-day operation of successful organisations and businesses, are increasingly reliant on the analysis of data. Driving these advances is a deluge of data, which is outstripping the increase in computational power available to process it. Research in machine learning, AI & data science is already transforming our ability to work with large amounts of complex information. Over the next few years these trends will revolutionise how we think about data, how we process and visualise it, and how we put it to use.

Schedule of talks

2.00 – 2.10 Welcome & Introduction to the workshop (Steve Roberts, OMI Director)

2.10 – 2.40 Vu Nguyen (Department of Materials & OMI Associate)
Controlling Quantum Device Measurement using Deep Reinforcement Learning

Video and Slides: Controlling Quantum Device Measurement using Deep Reinforcement Learning Dr Vu Nguyen
2.40 – 2.50 Questions & discussion

2.50 – 3.20 Nir Vulkan (OMI and Saïd Business School)
Game Theory and Machine Learning

Slides: references for OMI ML workshop

3.20 – 3.30 Questions & discussion

3.30 – 4.00 Jeyan Thiyagalingam (Rutherford Appleton Laboratory / STFC)
AI for Science: Challenges and Opportunities

Slides: AI_For_Science_Challenges_Opporunities_Ox_Jeyan
4.00 – 4.10 Questions & discussion

4.10 – 4.30 Discussion & networking