Australian Institute for Machine Learning

An institute of the University of Adelaide, AIML was established in 2018{{Cite web |title=Adelaide to open a machine learning institute |url=https://www.itnews.com.au/news/adelaide-to-open-a-machine-learning-institute-479583| first=Ry |last=Crozier| date=11 December 2017 |access-date=2022-06-09 |website=iTnews}} by incorporating the university's Australian Centre of Visual Technologies (ACVT).{{cite web | title=Research & Development | website=Acacia Systems | url=https://www.acaciasystems.com.au/research-development/ | access-date=10 June 2022}} It officially joined Lot Fourteen as a tenant in 2020.{{Cite web |title=Australian Institute of Machine Learning joins Lot Fourteen |url=https://www.technologydecisions.com.au/content/it-management/news/australian-institute-of-machine-learning-joins-lot-fourteen-526964983 |archive-url=https://web.archive.org/web/20200218041148/https://www.technologydecisions.com.au/content/it-management/news/australian-institute-of-machine-learning-joins-lot-fourteen-526964983 |archive-date=18 February 2020 |url-status=dead|access-date=2022-06-09 |website=Technology decisions}} The Government of South Australia put {{AUD|7.1m}} into the opening of the institute.{{Cite web |title=SA Govt pumps $7.1M into machine learning institute |url=https://www.arnnet.com.au/article/631075/sa-govt-pumps-7-1m-into-machine-learning-institute/|date=11 December 2017| first=Samira| last= Sarraf |access-date=2022-06-09 |website=ARN}}

In 2018, American aerospace and defence corporation Lockheed Martin became the AIML's first foundation partner.{{Cite web |title=Lockheed Martin partners with Uni of Adelaide on machine learning - Chief IT - For IT Leaders & Decision Makers| website=Chief IT | date=9 October 2018 |url=https://chiefit.me/lockheed-martin-partners-with-uni-of-adelaide-on-machine-learning/ |access-date=2022-06-09 |language=en-US}} Between 2018 and 2021, AIML worked with 21 companies, improving their AI and machine learning capabilities, creating 30 new jobs and developing a number of new AI products. One of these was visual effects and animation business Rising Sun Pictures, enabling it to develop some cutting-edge new tools.{{cite web | title=Excellence in Science & Industry Collaboration | website=SA Science Excellence and Innovation Awards | url=https://www.scienceawards.sa.gov.au/excellence-in-science-indus | access-date=10 June 2022}} Another is Acacia Systems, a defence technology company that specialises in data fusions and tactical tools.

In 2019, Rising Sun Pictures worked with AIML to incorporate machine learning techniques in the 2022 film, Elvis.{{Cite web |last=Failes |first=Ian |date=2022-08-09 |title='Elvis' featured a ton of VFX you may not have noticed |url=https://beforesandafters.com/2022/08/10/elvis-featured-a-ton-of-vfx-you-may-not-have-noticed/ |access-date=2022-08-19 |website=befores & afters |language=en-US}}

In September 2021, Microsoft signed a memorandum of understanding with the AIML to collaboratively investigate how advanced cloud computing, AI, computer vision and machine learning can be applied in space.{{cite web | title=Microsoft joins forces with Australian Institute for Machine Learning to soar into space | website=Microsoft | date=8 September 2021 | url=https://news.microsoft.com/en-au/features/microsoft-joins-forces-with-australian-institute-for-machine-learning/ | access-date=10 June 2022}}{{cite web | title=Microsoft partners with Australian Institute for Machine Learning to build space capabilities | website=Cyber Security Connect | date=9 September 2021 | url=https://www.cybersecurityconnect.com.au/critical-infrastructure/7137-microsoft-partners-with-australian-institute-for-machine-learning-to-build-space-capabilities | access-date=10 June 2022}}

AIML is a research institute focused on artificial intelligence and machine learning based at Lot Fourteen on North Terrace in Adelaide city centre. It has more than 160 members, and is the largest university-based research site dedicated to machine learning in Australia, as well as ranking among the global top sites for its computer vision research capability.{{Cite web |title=Australian Institute of Machine Learning work in AI leads Australia, up with world's best, at Lot Fourteen, Adelaide city|url=https://adelaideaz.com/articles/australian-institute-of-machine-learning-s-work-in-ai-leads-australia-and-among-best-in-world--at-adelaide-s-lot-fourteen- |access-date=2022-05-05 |website=Adelaide AZ}}

The institute runs on an open access basis; most of its research is open to the rest of the world, either through conferences and journals or via open source software. Its researchers are using machine learning to assist industries as diverse as agriculture, medical imaging, manufacturing, mining operations, and filmmaking.{{cite web | title=Australian Institute for Machine Learning opens research space at Lot Fourteen | website=PACE | date=19 February 2020 | url=https://pacetoday.com.au/australian-institute-machine-learning-opens-research-space-lot-fourteen/ | access-date=10 June 2022}}

Tat-Jun Chin is professorial chair of sentient satellites at AIML. {{as of|September 2022}} Simon Lucey is the director of the institute.{{Cite web |date=2022-09-09 |title=Closer AI industry ties can attract top researchers to Aus |url=https://www.innovationaus.com/closer-ai-industry-ties-can-attract-top-researchers-to-aus/ |access-date=2022-09-27 |website=InnovationAus.com |language=en-AU}}

AIML is regarded as the best in the world in several areas,{{By whom|date=September 2022}} for example in pedestrian detection, reconstructing 3D from 2D, semantic segmentation, tracking and identification, overhead image classification and face detection.

In November 2021, AIML was awarded the Excellence in Science and Industry Collaboration at the SA Science Excellence and Innovation Awards.{{cite web | title=2021 Winners | website=SA Science Excellence and Innovation Awards | url=https://www.scienceawards.sa.gov.au/2021-winners | access-date=10 June 2022}}

{{Reflist}}

• {{official|https://www.adelaide.edu.au/aiml/}}

Category:Machine learning researchers

Category:Organisations based in Adelaide

Category:2018 establishments in Australia