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Making music with Voog the singing keyboard
Dr Jamie Sherrah has created an AI keyboard that creates its own lyrics as a way to demonstrate machine learning’s capacities outside the usual sectors.
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Getting junk out of space
A crack Australian team is using machine learning to tackle the threat of space junk wrecking new satellites.
Laurie Anderson, machine learning artist-in-residence
The Australian Institute for Machine Learning and Sia Furler Institute at the University of Adelaide announce new initiatives at the intersection of art and artificial intelligence.
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Laurie Anderson and the meaning of meaning
The New York avant garde legend finds herself back in Adelaide to talk natural disasters, artificial intelligence, and finding meaning in a changing world.
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Tech tackles art in world-leading hackathon
World-leaders in machine learning are drawing on South Australia’s artistic inspiration to push the boundaries between AI and art.
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Laurie Anderson to be first Art Intelligence artist-in-residence
Award-winning NYC avant-garde artist and creative pioneer, Laurie Anderson, is the inaugural artist-in-residence at Art Intelligence, a ground-breaking collaboration between the Australian Institute for Machine Learning (AIML) and Sia Furler Institute at the University of Adelaide.
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Art Intelligence Hackathon
We're giving you the chance to combine your art and tech skills at the Art Intelligence Hackathon on Friday 13 March, with special guest Laurie Anderson.
Is there a difference between machine learning and artificial intelligence?
Is there a difference between machine learning and artificial intelligence? Professor Anton van den Hengel spoke to Amanda Vanstone on Counterpoint about the difference between the two and the industries that AIML is working with to not only improve our lives but also to protect and enhance our working lives.
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SmartSat funding success
Congratulations to Associate Professor Tat-Jun Chin on his successful bid for SmartSat funding for his proposal Ultra-fine Attitude Control via Event-based Star Tracking and Piezoelectric Stabilisation.
Six papers accepted to CVPR 2020
The Australian Institute for Machine Learning has had six papers accepted to CVPR 2020! Congratulations to all of our researchers involved.
