The Australian Government released its artificial intelligence (AI) technology roadmap during Australia's inaugural AI summit Techtonic, held recently in Canberra. As reported, 'Artificial Intelligence: Solving problems, growing the economy and improving our quality of life' was developed by CSIRO, Australia's national science agency. The roadmap outlines the importance of action for Australia to capture the benefits of AI, which is estimated to be worth AU$ 22.17 trillion to the global economy by 2030. It was developed for the Australian Government in consultation with industry, government and academia. The roadmap is intended to help guide future investment in AI and machine learning, and accompanies Artificial Intelligence: Australia's Ethics Framework, a discussion paper prepared by CSIRO's Data61 and published by the Australian Government in April 2019.

We've been told a million times that texting (or tweeting) while driving is dangerous. However, a lot of folks still do it; putting their and other people's lives in danger. Now, Australia is set out to catch them with a new AI-based system. The government of New South Wales state is setting up cameras specifically made for catching drivers using mobile phones. The state's transport department tested the system with cameras on two spots, and it's now spending $88 million to install them on 45 spots.

Phone use while driving remains a problem in many parts of the world, in no small part due to the difficulty of enforcing laws. How do you catch someone in the act? Australian police might not have that problem. The New South Wales government has started using the first cameras that can automatically detect when drivers are using their phones. The system uses AI to review photos for telltale signs of phone use, with human reviewing the flagged images to prevent any false positives.

Independent watchdog key to monitor artificial intelligence Geoff Maslen 01 June 2019 Nations that increasingly use artificial intelligence (AI) devices to assist in decision-making should act immediately and adopt'an independent watchdog' to monitor them for possible risks to the public, according to two senior academics in New Zealand. John Zerilli and Colin Gavaghan have called on their government to establish an independent regulator to monitor "and address the risks associated with these digital technologies". "To protect us from the risks of advanced artificial intelligence, we need to act now," say the two Otago University academics. "The public should know what AI systems their government uses as well as how well they perform. Systems should be regularly evaluated and summary results made available to the public in a systematic format."

In his blog post on artificial intelligence (AI), GovTech Graduate Jonathan Manning draws on the New Zealand Law Foundation: Government use of artificial intelligence in New Zealand (the NZFL report) to discuss the role and effectiveness of explanation tools. As algorithms and AI become ubiquitous we all become'data subjects' to organisations such as governments and businesses. In response, regulations such as the EU's General Data Protection Regulation are beginning to emerge. The New Zealand government is currently exploring how governments, business and society can work together to meet the challenge of regulating AI. A part of this challenge is ensuring when things like algorithmic harm arise, we can explain what happened and why so that mistakes can be fixed and not repeated or obscured.

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.

The AI Organization used numerous algorithms to achieve an AI based prediction of a digital map of what the world will look like if President Trump is impeached and removed from office. The algorithms achieved a 93% predictability result on more than 1,000 simulated scenarios. The score never dropped to below an average of 93%, even after inputting digital codes built into Google and Baidu via Chinese influence and corporate mandates that were against the U.S and the Trump Administration. This digital report and the A.I. algorithms used the Geo-Political infrastructure and connected it with health, military, the intelligence community, human rights, safety of the U.S and the world at large. These algorithms involve the entire human race.

AI and broadband are eating retail for breakfast. In the first half of 2019, we've seen 19 retailer bankruptcies. And the retail apocalypse is only accelerating. What's coming next is astounding. Why drive when you can speak?

Whether we realise it or not, technology such as artificial intelligence and VR are already ubiquitous in our everyday lives. While the broader debate swirls around the extent that machines will replace human function, the underlying technology is already at work, altering the way we live and work. In many ways, the sports industry is at the cutting edge of this change. It has embraced technology to the point that many teams now rely on it to help them win games, improve players' ability and coaching, manage their operations as well as interact with their fans. The fourth industrial revolution is upon us, bringing with it unlimited insights from its interconnected everyday data.

Artificial Intelligence has stirred the IT world. More and more companies are headed towards adopting AI for their advantage. Machine learning is a subset of Artificial Intelligence. In Machine learning, machines are coded with algorithms to behave like human beings. They respond to a stimulus, react to the inputs and much more. In this blog, we will endeavour to learn more about various things associated with Machine Learning such as its background, its languages, example and much more. Stay tuned and keep reading!