What we’re about
Meet and discuss applications and algorithms related to machine learning and AI. Use our speaker sign-up form.
Other Cool Melbourne Meetups
Melbourne Automation Meetup: https://www.meetup.com/melbourne-automation-meetup/
Upcoming events (3)See all
- AI Hack 2024 AnnouncementKathleen Syme Library and Community Centre, Carlton, VI
By all accounts our first hackathon, AI Hack 2023 was a great experience for everyone involved, so we we're following it up immediately with a more specialized event in 2024 focusing on a huge, Australia-specific problem that can only be solved with data science.
This is an event for anyone who attended the 2023 hackathon, or anyone interested in the next hackathon to network, swap war stories give feedback to the hosts or ask any final questions. We'll also be announcing the details of our next hackathon and opening up early bird registration for anyone who wants to guarantee their spot.
It's going to be held in Kathleen Syme Multipurpose Room 2 and afterward we'll go out for drinks :D
- ML/AI Kickoff 2024: Inference and Train with Less GPUs & Bayes vs Frequentist4 Freshwater Pl, Southbank, VI
Note: We are at at NEW VENUE in January and will start and finish 30 MINUTES EARLY! Doors open at 5:30pm
The MLAI Meetup is a community for AI researchers and professionals which hosts monthly talks on exciting research. Our format is:
- 5:30 - 5:50: Socializing
- 5:50 - 6:00: Announcements and AI news
- 6:00 - 7:10: Talk(s) and Q&A
- 7:10 - 7:25 Networking
- 7:25: Head to the nearest pub for dinner
This month Microsoft Melbourne kindly offered to provide the venue! Huge thanks!
Talks (Hung Tran & Benjamin Andrew Metha):
Inferencing and training LLMs with less GPUs - Hung Tran
Abstract and bio TBA
Probability as Logical Inference: a dramatic reading of E.T. Jaynes' textbook - Benjamin Andrew Metha
What is probability? When we say an event has a probability of 0.9, what do we mean? Ask a Bayesian and a Frequentist, and they'll probably (whatever that means) give you two very different answers. In this talk, I present an interpretation from 20th century physicist E. T. Jaynes, wherein probabilities are treated as an extension of the concepts of "true" and "false" to situations where not all information is known -- with some delightful consequences.
Benji Metha is a late-stage astronomy PhD student at the University of Melbourne. He is a pioneer in using methods from spatial statistics for analysis of high-resolution galaxy data, and is an outspoken advocate for Doing Maths Right™.