Gibbons Lectures 2017: AI: from Aristotle to deep learning machines

Speaker: Professor Nikola Kasabov, Director of the KEDRI Research Institute, Auckland University of Technology

This Gibbons Lecture, Professor Nikola Kasabov presents the main principles used in Artificial Intelligence (AI), from Aristotle’s true/false logic, through fuzzy logic, evolutionary computation and neural networks, to arrive at the current state-of-the-art in AI – the deep learning machines.

One such machine, developed at Professor Kasabov's KEDRI Institute and dubbed NeuCube, is designed for deep learning of complex data patterns so as to predict future events. It uses the latest AI technique called "spiking neural networks" (SNN) which mimics the learning capabilities of the human brain.

NeuCube has already demonstrated its usefulness when dealing with Big Data such as brain electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data; brain-computer interfaces; seismic data; and environmental data for stroke prediction.

This is the beginning of understanding complex patterns of changes to variables in space and time and their relevance to future events. It will have a significant impact on our understanding of the dynamics of the micro and the macro worlds with particular application in medicine.