The world is infatuated with Artificial Intelligence (AI), and understandably so, given its super-human ability to find patterns in big data. But so-called “general intelligence” that humans possess still remains elusive in AI. In this talk, Professor Zdenka Kuncic will approach this topic from a physics perspective. By viewing the brain’s neural network as a physical hardware system, rather than algorithm-based software, revealing clues that suggest the underlying nature of intelligence is physical.
Date: Wednesday 17 June 2020
Time: 12pm – 12:45pm AEST
Cost: Free. Registration essential
In light of the ongoing Coronavirus (COVID-19) response, this event will be virtual. You will need to register to participate virtually, either by phone or video link, using the registration link.
Zdenka is Professor of Physics in the School of Physics, where she leads a distinctively interdisciplinary research program applying physics and physics-based approaches to challenging problems that can only be solved through inter-/multi-disciplinary collaborative strategies. Her research interests include: medical and biological physics; advanced biomedical imaging; complex physical systems and systems biology; bio-nanoscience and nanotechnology in medicine; and neuromorphic systems and neurotechnology. She is the recipient of several prestigious international research awards, including a 2020 Fulbright Future Scholarship and a 2017 Australia-Harvard Fellowship, as well as the 1851 Royal Commission International Research Fellowship in Science and Engineering.