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.
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.