SYDNEY (BLOOMBERG) Does the idea to use artificial intelligence (AI), drones and electric force fields to prevent sharks from eating human bathers have teeth? Several tech start-ups in Australia say yes. Officials in the United States are watching the advancements keenly, aware that climate change is altering migration patterns and threatening to push great whites ever closer to American shores. This summer, sharks have attacked teenagers on beaches from California to New York. Sharks typically frequent lower latitudes, but warming oceans are pushing their prey north, said Florida Atlantic University Professor Stephen Kajiura.
Use of artificial intelligence (AI) in digital commerce is generally considered a success, according to a survey by Gartner, Inc. About 70 percent of digital commerce organizations surveyed report that their AI projects are very or extremely successful. Gartner conducted a survey* of 307 digital commerce organizations that are currently using or piloting AI to understand the adoption, value, success and challenges of AI in digital commerce. Respondents included organizations in the U.S., Canada, Brazil, France, Germany, the U.K., Australia, New Zealand, India and China. Three-quarters of respondents said they are seeing double-digit improvements in the outcomes they measure.
I read an interesting article this week, about the future of leisure vs. the future of work, which in a way reflected what I was chatting about in my post about future proofing. The article goes on to posit that leisure-time is going to be an important component of the future, as more and more rote and repetitive jobs get given to AI and possibly robots. The article encourages teachers to consider how the arts, volunteerism, citizenship and self-development could enable the people of the future to make better use of their leisure time to, with a bit of hyperbole, make the world a better place. Having said all of that, apropos of nothing, today's blog is actually about STEM-driven education, (and all the future proofing that entails) and explores what I now realize (after spending an inordinate amount of time researching the subject) is quite a disorganized subject: how does interior design and architecture impact on our ability to study? Traditional classroom layouts (sometimes called the "graveyard layout") have long been identified as a obstacle in addressing different learning modes.
Australia's criminal information reporting service Crime Stoppers has announced it will be implementing a new online reporting tool, extending to members of the public additional ways to report crimes. The organisation has appointed Citadel Group to build out its safety management platform, Keep Us Safe vResponder, specifically around the needs of Crime Stoppers and its network. Citadel's Keep Us Safe application is hosted on Microsoft Azure, which received accreditation in April for its "government-configured" clouds to be used for Australian government data classified up to protected level. Crime Stoppers gathers information supplied by the community to assist police agencies with solving and preventing crime. "In the last two years we've seen an increase in cybercrime and victim reporting from the general public," Crime Stoppers director Peter Price said previously.
Technology and innovation company Lockheed Martin Australia has become the first Foundation Partner with the University of Adelaide's new Australian Institute for Machine Learning. The strategic partnership will deliver world-leading machine learning research for national security, the space industry, business, and the broader community. Machine learning is a form of artificial intelligence that enables computers and machines to learn how to do complex tasks without being programmed by humans. This technology is driving what is known as the "fourth industrial revolution". The University's new Australian Institute for Machine Learning (AIML) – which builds on decades of expertise in artificial intelligence and computer vision – will be based in the South Australian Government's new innovation precinct at Lot Fourteen (the old Royal Adelaide Hospital site).
AT the heart of technological changes over time are core things like processing power, developments in network infrastructure, falls in price and re-imaginings of the user interface. But the next 5 years will deliver on some building trends that are going to need to be carefully managed. Artificial intelligence is one of these trends. It's been coming for decades but with many countries, including Australia, taking different layers of citizen ID biometric, and most manufacturers starting to deliver on past ROI promises, it's clear that AI is going to be central to the future of our systems. It will make them more efficient, more powerful and more frightening.
Australia's current government has a protectionist policy on fossil fuels that caused Australia to miss a big opportunity in renewables, but fossil fuels only contribute about 3% of GDP. Action on climate change is important but the impact of AI could be comparable in scale and impact. The coming AI revolution, that most of the population is not yet awake to, is going to turn the global economy upside down. Yet the Australian Government's announced just $29m over 4 yrs in The Budget. "Paltry" is the only word I can use to adequately describe that.
Transportation is about to get a technology-driven reboot. The details are still taking shape, but future transport systems will certainly be connected, data-driven and highly automated. The federal government has announced it will be establishing an Office of Future Transport Technologies, charged with the responsibility of preparing for the arrival of automated vehicles. For a cost of AU$9.7 million, the new office will sit underneath the Department of Infrastructure, Regional Development and Cities, which is headed up by Deputy Prime Minister and Minister for Infrastructure, Transport and Regional Development Michael McCormack. "Automated vehicles are on the verge of becoming commercially available here and the Australian government is taking proactive steps to manage the associated challenges and opportunities within that evolving and future transport landscape," McCormack said in a statement, noting the Australian future transport and mobility industry is expected generate more than AU$16 billion in revenue by 2025.
The extraction of geological lineaments from digital satellite data is a fundamental application in remote sensing. The location of geological lineaments such as faults and dykes are of interest for a range of applications, particularly because of their association with hydrothermal mineralization. Although a wide range of applications have utilized computer vision techniques, a standard workflow for application of these techniques to mineral exploration is lacking. We present a framework for extracting geological lineaments using computer vision techniques which is a combination of edge detection and line extraction algorithms for extracting geological lineaments using optical remote sensing data. It features ancillary computer vision techniques for reducing data dimensionality, removing noise and enhancing the expression of lineaments. We test the proposed framework on Landsat 8 data of a mineral-rich portion of the Gascoyne Province in Western Australia using different dimension reduction techniques and convolutional filters. To validate the results, the extracted lineaments are compared to our manual photointerpretation and geologically mapped structures by the Geological Survey of Western Australia (GSWA). The results show that the best correlation between our extracted geological lineaments and the GSWA geological lineament map is achieved by applying a minimum noise fraction transformation and a Laplacian filter. Application of a directional filter instead shows a stronger correlation with the output of our manual photointerpretation and known sites of hydrothermal mineralization. Hence, our framework using either filter can be used for mineral prospectivity mapping in other regions where faults are exposed and observable in optical remote sensing data.
Dark pools are electronic trading platforms that have emerged in the past decade in advanced markets. They allow traders to buy or sell large blocks of shares without having to disclose their identities, the volumes or prices, unlike traditional exchanges. They are popular with asset-management companies, pension funds and insurance firms which need to conduct a lot of large transactions, because they are cheaper and easier to carry out via electronic trading platforms. Merrin founded Liquidnet in 2001 in the US and later expanded into Europe and Asia-Pacific. The platform has seen trading volume in Asia-Pacific of US$42 billion so far this year, up 57 per cent from a year earlier.