Speaker: Maria Gorinova; Current Student, CDT in Data Science
Title: Nuclear Energy: the Ugly Duckling of the Energy Sources
Abstract: We live in the era of “clean energy revolution”, some would say. And indeed, the amount of energy produced by clean energy sources has been increasing in the past 20 years. However, the percentage of global electricity produced by such sources has actually been in decline, making the names “energy crisis” and “how about we colonise Mars before global warming ends us” much more suitable for the situation. In times like this it’s surprising that the most efficient clean energy source, namely nuclear energy, is being ignored, and even despised.
In this talk, I will explain how we use nuclear power to produce energy, and compare this to other electricity sources. Moreover, I will try to debug a few common myths around the health and welfare risks surrounding nuclear energy, and hopefully convince you that the only real problem with nuclear power is that people just don’t like it.
Speaker: Prof Chris Williams, Professor of Machine Learning, IANC
Title: Hamming lecture: “Latent variable models and ‘deep’ learning” – revisited from 2011
Abstract: In 2011 I gave a Hamming lecture entitled “Latent variable models and ‘deep’ learning”, see http://homepages.inf.ed.ac.uk/ckiw/talks/lvdl1.pdf for slides, a video is also available via http://homepages.inf.ed.ac.uk/ckiw/mypages/talks.html. In this short talk I will quickly go over the key points of my Hamming lecture, and assess how things look now, in the era of “deep learning”.