Artificial Intelligence: The Journey So Far, and The World in 2030
This session will be online. We will provide the link to join the Webinar close to the event date.
Agenda
5:30 PM - 7:00 PM: Speaker's Presentation
1 PDUs for Strategic Business Management
Event description
Artificial Intelligence: The Journey So Far, and The World in 2030
Artificial intelligence is already moving from science fiction to reality, and Canadian scientists are leading the way. Canada was the first country in the world to develop a “national AI strategy.” Kevin Leyton-Brown, Director of UBC’s Centre for Artificial Intelligence Decision-making and Action (CAIDA) will:
1) Describe the scientific journey that has brought us to this point,
2) Explain some of the core ideas that make modern AI technologies work, and
3) Indulge in some educated speculation about how AI will impact our lives a decade from now.
Kevin Leyton-Brown
Kevin Leyton-Brown is a professor of Computer Science at the University of British Columbia and holds a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute; he is also an associate member of the Vancouver School of Economics. He holds a PhD and M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). He studies the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also applies machine learning to various problems in artificial intelligence, notably the automated design and analysis of algorithms for solving hard computational problems.
To learn more about Kevin’s vast achievements, click here.
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