Upcoming events

Tech Talks at City Library-The State of AI Research in Visual Recognition

Date: Wed, 20 Feb 2019, 5:30 pm - 6:30 pm
Location: City Library, Level 3 Rundle Place, Rundle Mall

This is the first in a new series of Tech Talks presented in partnership with the City Library.

Machine Learning for CEOs

Date: Wed, 10 Apr 2019, 8:30 am - 1:00 pm
Location: Executive Education Suite, Level 7, Nexus 10 Building, ��˴�Ƭ, 10 Pulteney Street, Adelaide

The topic of machine learning can be a daunting one and many businesses fear that engaging with their data in more depth will be expensive and time consuming, with intangible outcomes. However, what is often neglected is the strategic danger of NOT engaging on a deeper level with your data.

Tech Talks at City Library – Blazing the Trail: Attracting More Girls and Women in Tech Careers

Date: Wed, 10 Apr 2019, 5:30 pm - 6:30 pm
Location: City Library, Level 3 Rundle Place, Rundle Mall

Girls are underrepresented in STEM subjects at school, while women remain underrepresented in STEM careers.

AI: Reshaping the future of resources

Date: Wed, 17 Apr 2019, 12:00 am
Location: Innovation & Collaboration Centre, UniSA Cancer Research Institute, North Terrace

When harnessing any resource, improving efficiency and productivity is crucial to profitability. Even small improvements in speed and efficiency can make an extraordinary impact from yielding profits to environmental conservation and human safety.

Directors’ Briefing: Governing in an AI Environment

Date: Tue, 30 Apr 2019, 5:15 pm - 7:30 pm
Location: UniSA Business School, Level 1, Yugondi Building, City West Campus, North Terrace, Adelaide

Artificial intelligence (AI) devices are already around us and have been around for some time assisting in society — the advent of tractors in the 1930s, cochlear hearing devices and crash avoidance technology.

Women in Maths Day SA

Date: Mon, 13 May 2019, 9:30 am - 3:00 pm
Location: Ingkarni Wardli Atrium, the ��˴�Ƭ

To celebrate International Women in Mathematics Day, The ��˴�Ƭ, Flinders University and the University of South Australia will be running the first Women in Maths Day SA Conference on Monday 13th May 2019. This conference is intended for students and staff alike - and persons need not study mathematics degrees to attend!

Tech Talk - Artificially Intelligence health - how AI is transforming healthcare

Date: Wed, 19 Jun 2019, 5:30 pm - 6:30 pm
Location: City Library, Level 3 Rundle Place, Rundle Mall

The 3rd Tech Talk in this series will explore the impact that artificial intelligence is having in the area of health.

Adelaide AI Meetup

Date: Thu, 25 Jul 2019, 5:45 pm - 8:00 pm
Location: The Science Exchange, 55 Exchange Place, Adelaide

Another great lineup of speakers for July's Adelaide AI meetup! Dr. Hannah Brown is the Chief Science Storyteller at SAHMRI & one of Australia's inaugural 'Superstars of STEM'. Hannah is an expert in explaining difficult scientific concepts in a clear & entertaining way. Marco Salinas is the Co-founder/CEO at Hubble & will be talking about how his company has started using AI to design eco-friendly buildings – cutting validation of design decisions from days to minutes! Please RSVP to confirm numbers.

[Read more about Adelaide AI Meetup ]

Is Your Organisation Ready for AI?

Date: Wed, 31 Jul 2019, 4:30 pm - 6:00 pm
Location: Room 5.57, Level 5, Ingkarni Wardli Building, ��˴�Ƭ, North Terrace

The AIML invites you to this free event featuring special guest speaker Dr John Flackett discussing the importance of AI strategy, and ensuring that your organisation is AI ready!

Machine Learning and the Challenge of Innovating with Australian Businesses

Date: Thu, 1 Aug 2019, 6:00 pm - 8:00 pm
Location: The Precinct, Startup Stadium Level 2, 315 Brunswick St · Fortitude Valley

This month at Queensland AI it is our pleasure to welcome Dr. Paul Dalby from The Australian Institute for Machine Learning at the ��˴�Ƭ.

Paul will explore the challenges of working with Australian companies to innovate, and will present his ideas on how they could structure themselves to be more responsive to the opportunities offered by machine learning technologies.

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