The University of South Australia (UniSA) and the University of Wollongong (UOW) will jointly conduct research into new data analytics and artificial intelligence (AI) capabilities for the Department of Defence. The two Australian universities have signed a memorandum of understanding to deliver new advances using AI and data analytics in the area of informed decision-making and the development of goal-oriented autonomous systems as part of the agreement. Specifically, the universities will focus on developing: High-level interactions between Defence systems to support battlefield decision making; autonomous systems that can think for themselves and operate in support of mission goals; information ecosystems that allow the integrated management of digital twins across the Defence asset lifecycle; self-aware software and cyber-physical systems that can autonomously assess mission alternatives and support high pressure, rapid decision making; and AI to support data analysis of the location and behavioural patterns of terrorist cells or adversary forces. UniSA defence and space director Matt Opie said combining the expertise of both universities would improve the quality, depth, and scope of the research delivered to Defence. "UniSA has key research capabilities in information ecosystems, data analytics, and the internet of military things to support a range of defence force requirements from battlefield decision making to military intelligence support systems," Opie said.
The South Australian government has rolled out a chatbot, nicknamed Zoe, to help answer COVID-19 queries. The virtual agent, developed by Adelaide-based tech firm Clevertar, has initially been designed to provide users with answers and relevant links to further information. Currently, it's able to answer a set of pre-defined questions. "Zoe was specifically implemented in response to COVID-19 to help reduce the extra pressure on South Australia's hospital switchboards and the 000 line, which experienced a surge in demand as a result of COVID-19 enquiries," a SA Health spokesperson told ZDNet. "The primary objectives were to provide the public with an additional, reliable source of COVID-19 information, and ultimately allow our operational services to focus on delivering health and emergency services."
An Australian team is using machine learning to tackle the threat of space junk wrecking new satellites. Research to tackle the growing need to find, capture and remove junk from space is advancing at the Australian Institute for Machine Learning in Adelaide, South Australia. Machine Learning for Space director Tat-Jun Chin and his Adelaide-based team have won a $600,000 grant from Australia's SmartSat CRC to continue their work in detecting, tracking and cataloging space junk. SmartSat CRC was established last year to work with the Australian Space Agency based in Adelaide, contributing to the Australian government's goal of tripling the size of the space sector to $12 billion and creating as many as 20,000 jobs by 2030. The space junk project is based on developing a space-based surveillance network and tackling the growing challenge of crowding in space.
The Marshall Liberal Government will be the first government globally to host a $250,000 crowd sourced open data competition to fast-track the discovery of mineral deposits in South Australia. ExploreSA: The Gawler Challenge partners with open innovation platform, Unearthed, in a world-wide call for geologists and data scientists to uncover new exploration targets in the state's Gawler Craton region. Using the Geological Survey of South Australia's historical records, primary data and research, the competition combines geological expertise with new mathematical, machine learning and artificial intelligence to increase the number of potential drill targets across central South Australia. "This state-of-the-art competition has the potential to unearth the next Olympic Dam or Carrapateena by encouraging global thinkers and innovators to interrogate our open-file data and generate new exploration models and ideas for targeting," said Minister van Holst Pellekaan. "The Marshall Liberal Government is thinking outside the square to drive investment and jobs in South Australia's vital resources sector. "Mining is one of the pillars of the South Australian economy and this competition should add to the pipeline of projects in the resources and minerals processing sector.
Up to 20 million manufacturing jobs could be lost to robots by 2030, according to a new report by Oxford Economics. The study found that robots will lead to twice as many manufacturing job losses in low-skill areas, thereby aggravating income inequality. The report, "How Robots Change the World", estimates that each new industrial robot eliminates 1.6 manufacturing jobs on average, and calls on governments to prepare with policies including better training and welfare programs, and a universal basic income. It suggests that in Australia, South Australia is most vulnerable to the future robot rollout. The state is Australia's most manufacturing intensive but has the slowest-growing economy and low levels of manufacturing productivity, the report argued.
Zygmunt received his PhD degree in Computer Science from the University of Adelaide, Australia in 2013, and his MSc degree in Computer Science from the University of KwaZulu-Natal, South Africa in 2009. He is a senior research fellow at the Australian Institute for Machine Learning. His research lies at the interface of computer vision, machine learning, and challenging industry problems. He develops algorithms that allow computers to perform tasks typically associated with human intelligence. In the last couple of years, his work has focused on the application of machine learning and image processing techniques for the development of smart medical devices.
The South Australian Government had recently launched a free autonomous vehicle trial that will deliver a first and last mile service between the Playford Alive Township and the Munno Para Train Station. As reported, the autonomous electric bus will run approximately every half hour on weekdays and will carry passengers from the Munno Para Railway Station to the Playford Alive Township, including stops at Mark Oliphant College and the Stretton Centre. The free autonomous shuttle bus service will include a morning and afternoon service window, with passengers collected from designated pick up points on the route. The Munno Para service is phase two of the Playford Connect autonomous bus trial. It follows phase one, which provided a free park and ride service from the Lionsgate Carpark through to the Lyell McEwin Hospital in Elizabeth Vale from October 2018 to June 2019.
A team of researchers at Flinders University in South Australia has created a vaccine that is considered to be the first human drug to be fully designed by artificial intelligence. Drugs have been previously designed with the help of computers. However, this vaccine was independently designed by an AI software known as SAM or Search Algorithm for Ligands. Nikolai Petrovsky, professor at Flinders University who also led the development said that its name has been derived from the task it was assigned to perform which was searching the universe for all possible compounds for a good human drug also known as a ligand. Petrovsky, also a Research Director for an Australian company, Vaxine added that the AI software was first taught about the set of compounds which activate the immune system in human beings and a set of compounds which do not.
A team at Flinders University in South Australia has developed a new vaccine believed to be the first human drug in the world to be completely designed by artificial intelligence (AI). While drugs have been designed using computers before, this vaccine went one step further being independently created by an AI program called SAM (Search Algorithm for Ligands). Flinders University Professor Nikolai Petrovsky who led the development told Business Insider Australia its name is derived from what it was tasked to do: search the universe for all conceivable compounds to find a good human drug (also called a ligand). "We had to teach the AI program on a set of compounds that are known to activate the human immune system, and a set of compounds that don't work. The job of the AI was then to work out for itself what distinguished a drug that worked from one that doesn't," Petrovsky said, who is also the Research Director of Australian biotechnology company Vaxine.
The flu vaccine is getting a boost from AI. The flu vaccine isn't perfect, but Australian scientists are trying to make it work better. Researchers at Flinders University in South Australia have developed a way to use artificial intelligence to create a "turbocharged" flu vaccine. A vaccine created with the computer program -- Smart Algorithms for Medical Discovery, or Sam for short -- started clinical trials in the US about a week ago, Flinders University Professor Nikolai Petrovsky said in an email to CNET. Petrovsky told the Australian Broadcasting Corporation that Sam can be trained and can then learn to create new drugs.