WADSIH is a proud sponsor of this event.
In today’s technological era, understanding complex algorithms and vast data sets is crucial. As the quest for ‘explainable AI’ strives to interpret the outcomes of models, delving into the mechanisms and logic of the algorithms stands as an intricate challenge.
Join Professor Michael Small’s group from UWA, as they unravel the mysteries behind machine learning paradigms. Delve into Topological data analysis that focuses on data shape quantification, and Reservoir computing, which uses statistical physics to evade computational obstacles found in recurrent neural networks. Through this talk, gain insights into how these groundbreaking techniques help chart the multifaceted terrains of machine learning algorithms and their subtle data responses.
We would like to acknowledge and pay respect to the traditional owners of the land on which the WADSIH office is located, the Whadjuk people of the Nyungar Nation.
