Update README.md

README.md

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-# Upcoming Event: Neil Lawrence "Deep Gaussian Processes: A Motivation and Introduction"
-
-<p>
-<img src="https://inverseprobability.com/assets/neil11-320x240.jpg" style="float" align="right" />
-<b><a href="https://inverseprobability.com/">Neil Lawrence</a></b> is coming to speak on the <b>17th June</b>!<br/><br/>
-
-Title: Deep Gaussian Processes: A Motivation and Introduction<br/>
-Where: Diamond, DIA - Lecture Theatre 3<br/>
-Date: Friday, 17th June, 2022<br/>
-Time: 16:30 (talk starts at 17:00). <br/>
- <br/>
-Abstract: Modern machine learning methods have driven significant advances in artificial intelligence, with notable examples coming from Deep Learning, enabling super-human performance in the game of Go and highly accurate prediction of protein folding e.g. AlphaFold. In this talk we look at deep learning from the perspective of Gaussian processes. Deep Gaussian processes extend the notion of deep learning to propagate uncertainty alongside function values. We’ll explain why this is important and show some simple examples.
-<br/>
- <br/>
-Neil previously was Professor of machine learning here in Sheffield. He continued to develop applied probabilistic machine learning while director of machine learning at Amazon in Cambridge. Then, in 2019, Neil was appointed as the inaugural DeepMind Professor of Machine Learning at the University of Cambridge.
- <br/><br/>
- <h4>Mini poster session</h4>
-  <br/>
-If you're working in the field of ML (in particular early careers, or PhD, MSc) we'd be very happy to have your posters up before/after the talk.
- <br/>
- Pre-talk drinks/food 16:30-17:00; Talk 17:00-18:00; Drinks/food following talk 18:00-18:30.<br/>
-  <br/>
- <h4>Contact</h4>
-  <br/>
-To find out more about this event, <a href="mailto:[email protected]">email</a> us.
-</p>
-
 # About the network
 
 The Machine Learning Research Network is a forum for ML researchers, based at the University of Sheffield. 
@@ -57,10 +30,9 @@ Below is the provisional schedule for the sessions and leaders:
 
 # Seminars
 
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-
 ## Previous
 
+- 17th June, 2022. Deep Gaussian Processes: A Motivation and Introduction. Neil Lawrence.
  - 9th July, 2020. Multi-resolution Multi-task Gaussian Processes: London air pollution. Ollie Hamelijnck, The Alan Turing Institute, London. [video](https://www.crowdcast.io/e/ollie-hamelijnck-world)
  - 2nd July 2020. Learning Theory for Continual and Meta-Learning. Prof Christoph Lampert, Institute of Science and Technology Austria. [video](https://www.crowdcast.io/e/christoph-lampert-world)
  - 18th June, 2020. Neural circuit redundancy, stability, and variability in developmental brain disorders. Dr Cian O'Donnell, University of Bristol. [video](https://www.crowdcast.io/e/cian-odonnell-world-wide)