Something very new for us! :-)
The majority of ML research concerns slow, statistical learning of i.i.d. samples from large, labelled datasets. Animals do not learn this way. An enviable characteristic of animal learning is ‘episodic’ learning - the ability to rapidly memorize a specific experience as a composition of existing concepts, without provided labels. The new knowledge can then be used to distinguish between similar experiences, to generalize between classes, and to selectively consolidate to long-term memory. The Hippocampus is known to be vital to these abilities. AHA is a biologically-plausible computational model of the Hippocampus. Unlike most machine learning models, AHA is trained without any external labels and uses only local and immediate credit assignment. We demonstrate AHA in a superset of the Omniglot classification benchmark.
About the speaker: Gideon Kowadlo
Gideon has spent 20+ years bringing emerging technologies to life in Australia and overseas. His work spans from Robotics to Human Motor Control and from Mobile to Bio-inspired AI. He gets directly involved as well as leading and empowering teams to make an impact. He is a co-founder of Outware Mobile, Hoist AI and Project AGI. Outware Mobile began in 2009 and quickly became Australia’s leading app developer before becoming part of Arq Group a few years ago. Hoist AI supports AI startups that want to improve the world.
How to find us:
Once you enter the Outcome.life building take the lift or the stairs to the top floor.
Our venue, Outcome.life will be asking all attendees to register for security reasons.
We'll start the talk at 6:10,pm come at 6:00pm for networking. Stay after the talk for networking as well.
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