6 June 14.00
We are in the midst of 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 – 2.50 Marta Kwiatkowska (Computer Science) – Safety Verification for Deep Neural Networks with Provable Guarantees
2.50 – 3.30 Martin Tegnér (OMI) – That costs what! Probabilistic Machine Learning for Financial Volatility
3.30 – 4.00 Discussion & coffee/tea break
4.00 – 4.40 Paul Goulart (Engineering Science) – Operator Splitting Methods for Large-Scale Convex Optimisation
4.40 – 5.30 Discussion, networking, drinks and canapés (kindly sponsored by Man/AHL)