AI for Science
AI continues to attract significant attention across a broad frontier of application areas of commercial interest motivating a massive investment in research and development.
Presented by Prof John Taylor
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AI continues to attract significant attention across a broad frontier of application areas of commercial interest motivating a massive investment in research and development. Applying AI to scientific problems has also been gaining momentum. Applying AI to science can be challenging as ‘hallucinations’ undermine any potential benefits, AI results can be hard to interpret, extrapolation is not accurate, and many science problems have existing high quality solutions. Considering these limitations, I will illustrate the application of AI to science with examples from weather and climate.
About the speaker
I am currently Professor in the School of Computing, College of Engineering, Computing and Cybernetics at ANU.
Prof. John Taylor was formerly a Chief Research Scientist and Research Group Leader in CSIRO Data61, and Chief Computational Scientist at the Defence Science and Technology Group. He has broad experience in leading complex, multi-site, large scale interdisciplinary teams of research scientists, computational scientists, computer scientists and software engineers to deliver high quality strategic science. He has held leadership positions managing large and diverse programs of research and teaching at prominent universities and research laboratories in both Australia and the United States of America. In these positions he has taken the lead in developing the vision, the culture of excellence, setting the strategic directions, building high performing teams and delivering on the strategic goals.
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