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Indigenous mathematical transforms. A class of mathematical transforms, or systematic conversions between related spaces or objects, was practised by some Aboriginal and Torres Strait Islander groups. Such transforms from ground to night sky were used in long-distance route-recording and wayfinding techniques. This project aims to elucidate these transforms, and to use this knowledge to extend the mathematical framework and applications of Fourier analysis. There is significant potential for new ....Indigenous mathematical transforms. A class of mathematical transforms, or systematic conversions between related spaces or objects, was practised by some Aboriginal and Torres Strait Islander groups. Such transforms from ground to night sky were used in long-distance route-recording and wayfinding techniques. This project aims to elucidate these transforms, and to use this knowledge to extend the mathematical framework and applications of Fourier analysis. There is significant potential for new mathematics to emerge at this exciting interface of Indigenous/non-Indigenous knowledge. Expected outcomes are interdisciplinary research training for Indigenous students and new understanding of Indigenous sciences. Emerging big data technologies such as holography may benefit. Read moreRead less
Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. ....Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. Expected outcomes include a framework that provides powerful, nuanced criteria for comparison of natural and artificial intelligences. Benefits are expected to include enhanced guidance for the development of AI systems both in everyday contexts and as exploratory tools in comparative and cognitive neuroscience.Read moreRead less