If the battle between rival digital assistants can be summed up by the NBA championships, then Google's take would be the Golden State Warriors? That's assuming, of course, the record-setting Warriors beat the Cleveland Cavaliers to defend their NBA title. It's the analogy used by Google CEO Sundar Pichai, who characterized the competition as more friendly than bloody. "This is not like'Game of Thrones,'" he said Wednesday at Recode's Code conference in Ranchos Palos Verdes, California. Artificial intelligence is already a hot topic at the conference, and it's a big part of Google's future.

Children as young as four can learn to program robots, according to an expert at Queensland University of Technology. Queensland University of Technology's (QUT) Christina Chalmers, who specializes in the teaching and application of robotics in classrooms, says robotic coding is a growth area in a range of industries, a trend that increases the demands on educators to promote student education in robotics. "Preliminary findings from a current study have shown even pre-school students have gone beyond simply playing games with a NAO robot," Chalmers says. Coding and robotics were implemented into Queensland's state primary schools this year. "Research tells us that if kids don't form positive attitudes towards science, maths, and technology early in life they can find it difficult to engage later on," she says, adding robotics provides an engaging way for both students and teachers to work together.

The following publication was presented at the 2014 IEEE International Workshop on Cyber Crime and received the Best Paper Award on 5/18/2014. The original IEEE LaTeX formatted PDF publication can also be downloaded from here: IWCC Combined Clustering. To be successful, cybercriminals must figure out how to scale their scams. They duplicate content on new websites, often staying one step ahead of defenders that shut down past schemes. For some scams, such as phishing and counterfeitgoods shops, the duplicated content remains nearly identical. In others, such as advanced-fee fraud and online Ponzi schemes, the criminal must alter content so that it appears different in order to evade detection by victims and law enforcement. Nevertheless, similarities often remain, in terms of the website structure or content, since making truly unique copies does not scale well. In this paper, we present a novel combined clustering method that links together replicated scam websites, even when the criminal has taken steps to hide connections. We evaluate its performance against two collected datasets of scam websites: fake-escrow services and high-yield investment programs (HYIPs). We find that our method more accurately groups similar websites together than does existing general-purpose consensus clustering methods.

Global consulting firm Accenture has released a report looking at the potential benefits of autonomous vehicles in Australia and what connected industries may be affected by the advent of self-driving.

It's a weird feeling, cruising around Silicon Valley in a car driven by no one. I am in the back seat of one of Google's self-driving cars – a converted Lexus SUV with lasers, radar and low-res cameras strapped to the roof and fenders – as it manoeuvres the streets of Mountain View, California, not far from Google's headquarters. I grew up about eight kilometres from here and remember riding around on these same streets on a Schwinn Sting-Ray. Now, I am riding an algorithm, you might say – a mathematical equation, which, written as computer code, controls the Lexus. The car does not feel dangerous, nor does it feel like it is being driven by a human. It rolls to a full stop at stop signs, veers too far away from a delivery van, taps the brakes for no apparent reason as we pass a line of parked cars. I wonder if the flaw is in me, not the car: Is it reacting to something I can't see? The car is capable of detecting the motion of a cat, or a car crossing the street hundreds of metres away in any direction, day or night (snow and fog can be another matter). "It sees much better than a human being," Dmitri Dolgov, the lead software engineer for Google's self-driving-car project, says proudly. He is sitting behind the wheel, his hands on his lap. As we stop at the intersection, waiting for a left turn, I glance over at a laptop in the passenger seat that provides a real-time look at how the car interprets its surroundings. On it, I see a gridlike world of colourful objects – cars, trucks, bicyclists, pedestrians – drifting by in a video-game-like tableau. Each sensor offers a different view – the lasers provide three-dimensional depth, the cameras identify road signs, turn signals, colours and lights. The computer in the back processes all this information in real time, gauging the speed of oncoming traffic, making a judgment about when it is OK to make a left turn. Waiting for the car to make that decision is a spooky moment. I am betting my life that one of the coders who worked on the algorithm for when it's safe to make a left-hand turn in traffic had not had a fight with his girlfriend (or boyfriend) the night before and screwed up the code.

Apple is set to hold its biggest software event of the year, WWDC, in the middle of June. It'll use the San Francisco event to show off all of the software that's on its way to your Watch, phone and other computers – as well as potentially new Apple devices. The event comes at a big time for Apple. The company is fresh off the back of its first quarter of decline since the iPhone came out, and is feeling the heat from other companies like Google. It will intend to use WWDC as a way of showcasing the software and potentially other products that it hopes will prove its doubters wrong and get the company to grow again.

Czech writer Karel?apek's 1920 play R.U.R. (Rossum's Universal Robots), which famously introduced the word robot to the world, begins with synthetic humans--the robots from the title--toiling in factories to produce low-cost goods. It ends with those same robots killing off the human race. Thus was born an enduring plot line in science fiction: robots spiraling out of control and turning into unstoppable killing machines. Twentieth-century literature and film would go on to bring us many more examples of robots wreaking havoc on the world, with Hollywood notably turning the theme into blockbuster franchises like The Matrix, Transformers, and The Terminator. Lately, fears of fiction turning to fact have been stoked by a confluence of developments, including important advances in artificial intelligence and robotics, along with the widespread use of combat drones and ground robots in Iraq and Afghanistan. The world's most powerful militaries are now developing ever more intelligent weapons, with varying degrees of autonomy and lethality.

A student in Ashok Goel's class last semester had a question: How long could the computer programs, or "agents," they were building take to solve problems? Since it was an online course, the student posted the question to the group discussion board. One teaching assistant replied, pointing to a portion of the assignment that set a 15 minute limit. The student clarified that their agent was running a little slow, and could take a bit longer. "It's fine if your agent takes a few minutes to run," she wrote. "If it's going to take more than 15 minutes to run, please leave notes in the submission about how long we should expect it to take.

It has taken me time to warm to the notion of robotics and Artificial Intelligence. But this year I have been working on a project which has created a need for me to hang out with IBM's NAO Robots, and immerse myself in the world of Artificial Intelligence, on a regular basis. And in doing so, I have collected my favourite use cases for organisations today. Dangerous and Dull Today in industries ranging from manufacturing, to mining, to the the aeronautics industry, there are tasks which, on one extreme are so dull and boring it is almost impossible to recruit resource to support, and on the other extreme, so dangerous that lives are regularly lost. Robots, infused with Artificial Intelligence (AI) are an awesome alternative to dull and dangerous .

Over the years, researchers and companies have invented plenty of devices to help people with visual impairments avoid objects such as a desk or chair. Many of these gadgets used ultrasonic sensors to detect such hazards. Just to name a few, there was the discontinued Pathsounder (which hung around a person's neck), the cumbersome NavBelt (worn around the waist), and the wheeled GuideCane. However, there's another type of obstacle that lurks underfoot--slight depressions in the ground such as steps, curbs, or divots that can cause a person to stumble or a wheelchair to suddenly turn awry. "There's nothing in existence that we know of that detects non-protruding hazards," says Elaine Wong, an electrical engineer at Australia's University of Melbourne.