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The Australian Institute for Machine Learning (AIML) at the University of Adelaide has secured a significant boost of AU$6 million from the state government to fortify its endeavours and foster the expansion of domestic artificial intelligence (AI) capabilities. Established in early 2018 at Lot Fourteen, AIML stands as Australia’s pioneering institute dedicated solely to the exploration of machine learning.
Comprised of over 200 members, AIML boasts a globally renowned reputation for its cutting-edge research in AI and machine learning. Collaborating with leading corporations worldwide, AIML endeavours to develop advanced technological solutions aimed at societal betterment.
The infusion of new funding is set to propel AIML’s industrial AI program forward, with a particular focus on aiding small and medium enterprises (SMEs) in the development of AI-driven products and services. Additionally, the funding will facilitate the recruitment of fresh top-tier talent within the state, bolstering the AI workforce.
A notable allocation of the funds will be directed towards the establishment of four international exchange PhD scholarships and 16 scholarships for South Australian students pursuing honours or master’s degrees. These initiatives aim to foster international collaboration and cultivate a pool of skilled AI professionals within the state.
The Director of AIML at the University of Adelaide emphasised the allure of Adelaide as a prime destination for individuals aspiring to carve out a career in the global AI industry. He highlighted the exponential growth of AI activity within South Australia, attributing much of it to AIML’s endeavours over the past six years.
The Deputy Vice-Chancellor (Research) expressed gratitude for the supplementary funding from the state government, acknowledging the transformative potential it holds for shaping South Australia’s future. He underscored the University of Adelaide’s commitment to pioneering research in AI and its role in positioning the state as a frontrunner in technology.
The Premier of South Australia underscored the significant contribution of AI research within the state to the nation’s overall AI landscape. Despite accounting for only seven percent of Australia’s population, South Australia has played a pivotal role, contributing over 20% of the nation’s AI research output in 2021.
The SA Premier also emphasised the importance of fortifying the state’s industrial AI capabilities, citing its potential to drive efficiency, productivity, and automation, thereby propelling South Australia towards becoming a global leader in the digital economy.
The allocation of international exchange scholarships to AUKUS partner universities and support for AIML’s research and engineering team is anticipated to catalyse collaborative efforts with local industries and government projects, further solidifying South Australia’s foothold in AI research and innovation.
The infusion of AU$6 million into AIML by the state government underscores a concerted effort to bolster South Australia’s position as a hub for AI research and innovation. Through strategic investments in talent development, international collaboration, and industry partnerships, AIML and the University of Adelaide are poised to spearhead transformative advancements in AI technology, driving economic growth and societal progress within the region.
The global Machine Learning (ML) market, valued at US$19.20 billion in 2022, is projected to increase from US$ 26.03 billion in 2023 to US$ 225.91 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 36.2% throughout the forecast period.
Machine learning, a subset of Artificial Intelligence (AI), entails utilising algorithms and data to enable computers to learn in a manner akin to human learning. The escalating adoption of AI and ML technologies across diverse industries like healthcare, automotive, retail, and manufacturing is poised to significantly fuel market expansion.
Moreover, amidst the COVID-19 pandemic in 2020, various nations enforced quarantine measures and social distancing protocols, prompting developers and researchers to leverage ML tools for analysing the impact of these interventions.
