Back
The Max Planck Institute for Intelligent Systems is delighted to invite you to its 2024 Max Planck Lecture in Stuttgart.
Date: Thursday, October 17, 2024 Time: 16:00 Location: Lecture Hall 2D5, Heisenbergstraße 1, Stuttgart
By contrasting our own (evolved, locked-in, embodied) intelligence with the capabilities of machine intelligence through history, The Atomic Human reveals the technical origins, capabilities and limitations of AI systems, and how they should be wielded. Not just by the experts, but ordinary people. Either AI is a tool for us, or we become a tool of AI. Understanding this will enable us to choose the future we want.
If you plan to attend, please register online by midnight on Friday, October 11.
Please note that shuttle reservations will be confirmed by the event organizers. Participants utilizing the shuttle service will not be eligible to claim separate travel expenses.
Please click the link below to join the webinar:
16:00
16:30
16:35
The Atomic Human: Understanding ourselves in the age of AI
The DeepMind Professor for Machine Learning, University of Cambridge Senior AI Fellow, Alan Turing Institute Visiting Professor in Machine Learning, University of Sheffield
Speaker’s short biography >>
Biography Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge where he leads the University’s flagship mission on AI, AI@Cam. He has been working on machine learning models for over 25 years. He returned to academia in 2019 after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the real world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines. He is the author of the forthcoming book The Atomic Human (release date 6th June 2024).
17:35
18:00
Neil Lawrence (University of Cambridge)
Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge where he leads the University’s flagship mission on AI, AI@Cam. He has been working on machine learning models for over 25 years. He returned to academia in 2019 after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the real world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines. He is the author of the book The Atomic Human (release date 6th June 2024).
More information