Alona Fyshe
Alona Fyshe is an associate professor in the computing science and psychology departments at the University of Alberta and a fellow at the Alberta Machine Intelligence Institute (Amii). She is also a Canada CIFAR AI Chair and a fellow in CIFAR's Learning in Machines and Brains program. She earned her BSc and MSc where she now teaches; she did her PhD in machine learning at Carnegie Mellon.
Fyshe studies parallels between the ways that human brains and artificial neural networks learn and represent information. She aims to demystify machine learning, and enjoys helping people understand neural networks without needing to know the math behind them.
Alona Fyshe is an associate professor in the computing science and psychology departments at the University of Alberta and a fellow at the Alberta Machine Intelligence Institute (Amii). She is also a Canada CIFAR AI Chair and a fellow in CIFAR's Learning in Machines and Brains program. She earned her BSc and MSc where she now teaches; she did her PhD in machine learning at Carnegie Mellon.
Fyshe studies parallels between the ways that human brains and artificial neural networks learn and represent information. She aims to demystify machine learning, and enjoys helping people understand neural networks without needing to know the math behind them.
“People are funny. We look for meaning everywhere… We also attribute more intelligence than might actually be there.”
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