Australian-developed smart traffic technology is being rolled out across United Kingdom roads to catch dangerous drivers using their mobile phones and not wearing seatbelts. The world-first AI-enabled software and hardware was developed by Melbourne-based Acusensus, which operates camera detection programs in New South Wales, Queensland, and Western Australia, as well as in several international jurisdictions. In a UK first, government body National Highways has partnered with Acusensus to use its patented solution to monitor driver behaviour across motorways and major A-roads in Warwickshire. A road-side sensor van, able to be relocated across the road network, is equipped with multiple cameras able to individually capture every passing vehicle, even at speeds of up to 300km/h (186m/h). The AI software can instantly determine if drivers are using a hand-held device or if the driver or passenger are wearing a seatbelt. UK government figures show there were 420 collisions on British roads in 2019 in which the driver was using a mobile phone.
The Australian state of New South Wales (NSW) has announced a new AI (artificial intelligence) technology that is set to automate and revolutionise the way the state's roads are maintained and repaired. The project announced on Tuesday would fund a 2.9-million-Australian dollar ($1.96-million) trial from AI company, Asset AI, which would install sensors on 32 public buses with routes across greater Sydney. The sensors use AI to combine visual data with local weather conditions to predict the rate of deterioration in the city's roads -- meaning it would in theory be able to alert maintenance teams before potholes or other road damages pose a risk to traffic. "There will always be cracks in the road and there will always be potholes but with smart tech like this we can predict deterioration, streamline maintenance and get to better outcomes much faster," said NSW Minister for Customer Service and Digital Government, Victor Dominello. At present, road damages and defects rely on reports from residents.
Is AI taking over the jobs of bumblebees? Bumblebees are typically used to pollinate plants in glasshouses all over the world. However, they are prohibited in Australia, so pollination must be done manually. Hence, prominent Australian fresh produce company Costa Group is deploying AI to implement robotic pollination in one of its tomato glasses, thanks to its partnership with Israeli firm Arugga AI Farming. The AI-powered robot is named "Polly" and will pollinate truss tomato plants in Costa's tomato glasshouse facilities in Guyra, New South Wales.
The New South Wales government has named the 11 individuals who will form the NSW Artificial Intelligence Advisory Committee and play a role in how AI is used in the state. He will be joined by Microsoft Australia national technology officer Lee Hickin; Services Australia chief data officer Maria Milosavljevic; Australian Human Rights Commission human rights commissioner Edward Santow; Women in Data Science Network Sydney ambassador and School of Illinois data and AI research fellow Theresa Anderson; University of Technology Sydney data science executive director Fang Chen; Innovations Accelerated chief legal and data ethics officer Aurelie Jacquet; Australian Computer Society AI and ethics technical committee chair Peter Leonard; Gradient Institute co-founder William (Bill) Simpson Young; Quantium Health and Government CEO Neil Soderlund; and Public Purpose principal Martin Stewart-Weeks. Minister for Customer Service Victor Dominello said the committee would advise the state government on the use of AI for decision-making and service delivery, and what ethical AI policies should look like. "AI is becoming more prevalent in our day-to-day life and the NSW Government is determined to lead the way in its use and to drive improvements wherever possible, while ensuring it's done in an ethical way." Establishing the committee is part of the state government's AI strategy in which it has pledged that transparency will be the focus and vowed to make the state the digital capital of the southern hemisphere in the next three years.
We are looking to expand our Analytics team with a data scientist to help create data-driven internal solutions for the Illuvium DAO. Illuvium Labs is an independent game development studio based in Sydney, Australia. We have developed a strong culture of independence with our team, preferring candidates who can articulate their own vision and goals. We operate almost entirely remotely so each team member designs their own hours and work schedule. In the end all that matters is the delivered product.
Since 2002, Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Whether it be building forecasting engines that are driving down food wastage or creating mapping tools to support targeted measures in combatting human trafficking, Quantium believes in better goods, services, experiences, and championing the benefits of data for a brighter future. Our partnership with Woolworths has given us un-paralleled access to customer behaviour data of over 10 million customers that we leverage to provide insights for our diverse range of Woolworths client stakeholders. We've taken this partnership deeper by establishing Wiq. Wiq is our joint venture with Woolworths which will lead a data-driven transformation agenda for Woolworths and commercialise retail products globally.
Since 2002, Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Our solutions make sense of what has happened and what will, could or should be done to re-shape industries and societies around the needs of the people they serve. As one of the world's fully diversified data science and AI leaders we operate across every sector of the economy and we're growing fast - with growth comes opportunity! We're passionate about building out our team of smart, fun, diverse and motivated people. We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients.
Strong Compute, a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 million seed round. The round includes a total of 30 funds and angels, including the likes of Sequoia Capital India, Blackbird, Folklore and Skip Capital, as well as Y Combinator, Starburst Ventures and founders and engineers from companies like Cruise, Waymo, Open AI, SpaceX and Virgin Galactic. The company, which was part of Y Combinator's Winter '22 batch, promises that its optimizations can speed up the training process by 10x to 1000x, depending on the model, pipeline and framework. As Strong Compute founder Ben Sands, who previously also co-founded AR company Meta, told me, the team has recently made some breakthroughs where it was able to take Nvidia's reference implementation, which its customer LayerJot used, to run 20 times faster. "That was a big win," Sands said.
By a News Reporter-Staff News Editor at Insurance Daily News -- New research on artificial intelligence is the subject of a new report. According to news reporting originating from Canberra, Australia, by NewsRx correspondents, research stated, "The Australian National Disability Insurance Scheme (NDIS) allocates funds to participants for purchase of services." Our news reporters obtained a quote from the research from University of New South Wales: "Only one percent of the 89,299 participants spent all of their allocated funds with 85 participants having failed to spend any, meaning that most of the participants were left with unspent funds. The gap between the allocated budget and realised expenditure reflects misallocation of funds. Thus we employ alternative machine learning techniques to estimate budget and close the gap while maintaining the aggregate level of spending. Three experiments are conducted to test the machine learning models in estimating the budget, expenditure and the resulting gap; compare the learning rate between machines and humans; and identify the significant explanatory variables."
Tom is also a co-inventor of an advanced 3D flight navigation algorithm for drones which is being utilised in new software applications for Aerologix. Tom guest lecturers at one of Australia's top universities – The University of New South Wales, teaching subject matter on Unmanned flight, he also holds a position on a government subcommittee dedicated to developing rules and regulations for unmanned aerial vehicles. Tom's passion for disruptive technology is infections, he is always looking for new challenges, especially drone tech and IoT. Tom has a very successful track record of establishing, executing and delivering large complex technical projects, Tom recently set up the largest drone network in Australia to monitor 1700 km of coastline to enhance swimmer safety. Tom enjoys complex problem solving and welcomes the challenge of empowering team members and creating new innovative ways to solve real-world problems. He has a high passion for life and enjoys a healthy lifestyle, and loves adventure sports such as kitesurfing, mountain biking when time permits.