Artificial intelligence and machine learning: from understanding computation in the brain to building self-driving cars
What is intelligence? What is learning? Can we build computers and robots that learn? How much information does the brain store? How does mathematics help us answer these questions? Professor Ghahramani will take us on a journey exploring these questions and leading us to the field of machine learning: the invisible algorithms that underlie many of the tools we now use every day. He will highlight some current areas of research at the frontiers of machine learning, from automating data science to building self-driving cars, and speculate on some of the future applications of computers that learn.
Speaker Zoubin Ghahramani
Zoubin Ghahramani FRS is Professor of Information Engineering at the University of Cambridge and Chief Scientist at Uber. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John's College. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science. He has worked and studied at the University of Pennsylvania, MIT, the University of Toronto, the Gatsby Unit at University College London, and Carnegie Mellon University. His research focuses on probabilistic approaches to machine learning and artificial intelligence, and he has published over 250 research papers on these topics. He was co-founder of Geometric Intelligence (now Uber AI Labs) and advises a number of AI and machine learning companies. In 2015, he was elected a Fellow of the Royal Society for his contributions to machine learning.
The Queen's Lectures series
The Queen’s Lectures were founded by Queen Elizabeth II as a gift to the City of Berlin on the occasion of her state visit in 1965. Since 1997 the Queen’s Lecture takes place at the TU Berlin and is jointly organised by the British Embassy Berlin, Technische Universität Berlin and the British .
Date and time
The Queen’s Lecture will be held in English. Entrance is free.
- Tuesday, 21 November 2017, 5pm
- Audimax of Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin
You can register online to join the event.
A livestream of the lecture will be available on 21 November 2017 from 17.00 CET / 16.00 GMT: Livestream