When you boil it down, catching a criminal as they race around a city is nothing more than a very complex game theory problem. But rather than being able to run down 10 streets to evade detection, they can drive, get a bus, catch the subway or sprint down 100,000 streets. A computer can crunch those numbers, but not fast enough or efficiently enough for it to be any good. With Fujitsu's system, you can tell it how many officers you've got and it'll tell you where to put roadblocks and concentrate your manpower. One of the reasons that the system is now a lot faster is thanks to a partnership with Japan's University of Electro-Communications.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

If imitation is the sincerest form of flattery, Sony and Microsoft may be a bit embarrassed by Tuesday's reveal by China's Fuze Entertainment. The Fuze Tomahawk F1 is an Android-based game console that features the design of the PS4 hardware along with a controller that's eerily reminiscent of the Xbox One wireless controller. The console's operating system also bears a striking resemblance to the PlayStation Network. Fuze Entertainment is a new venture formed by former employees of Tencent, Huawei and Nvidia, according the ZhugeEX blog. In China, cheaper Android-based mini-systems that are designed to be family-centric entertainment machines capable of streaming TV shows or playing games is preferred over dedicated game systems in the burgeoning console market.

Computing science researcher Siamak Ravanbakhsh (middle), with his co-supervisors Russell Greiner (left) and David Wishart. Ravanbakhsh has developed a computer system called Bayesil that could dramatically improve diagnosis and treatment of a wide spectrum of diseases. Siamak Ravanbakhsh, who recently completed his PhD in computing science at the University of Alberta and whose research was recently published in the scientific journal PLOS ONE, said Bayesil, the computer application resulting from this breakthrough, is pretty easy to explain in basic terms. "There is this technology called NMR spectrometry, which uses some of the same physical principles as MRI. This technology is very cool, because it can determine the concentration of certain compounds in your body," he said.

Over the last few blog posts, I've discussed some of the basics of what machine learning is and why it's important: Throughout those posts, I've been using the following definition of machine learning: creating computational systems that learn from data in order to make predictions and inferences. However, machine learning isn't the only subject in which we use data for prediction and inference. Anyone who's taken an introductory statistics class has heard a similar definition about statistics itself. And if you talk to someone who works in data-mining, you'll hear the same thing: data mining is about using data to make predictions and draw conclusions from data. This raises the question: what is the difference between machine learning, statistics, and data mining? The long answer has a bit of nuance (which we'll discuss soon), but the short answer answer is very simple: machine learning, statistical learning, and data mining are almost exactly the same.

IBM and SK Holdings C&C, a South Korean IT services company, are planning to bring IBM's Watson cognitive technology language services to South Korean banking. The alliance, which includes training Watson to understand Korean, is designed to "dramatically accelerate" the adoption of cognitive computing throughout the region, giving South Korea-based developers a set of localised APIs and services they can use to help create their own applications and build new businesses. David Kenny, general manager, IBM Watson, says: "The South Korean marketplace is moving quickly to embrace the disruptive opportunities from next generation technology. Our strategic alliance with SK Holdings C&C will put cognitive services in the hands of more businesses and developers." SK Holdings C&C will run Watson and IBM Bluemix from its Pangyo Cloud Center, in support of universities, developers, and local businesses, across "diverse" industries including banking.

OpenAI and Shocking AI Salaries This week, Elon Musk and Sam Altman, head of the famed incubator Y Combinator, announced the launch of the OpenAI project, which is a company that's building AI products and services and giving away their tech for free. Just after the announcement, OpenAI's team of researchers were reportedly mobbed with huge employment offers from some of the tech world's biggest firms. Microsoft's Vice President of Research said that the cost of a top artificial intelligence researcher has eclipsed the cost of a top quarterback prospect in the National Football League. CLICK TO TWEET THIS: The cost of a top artificial intelligence researcher has eclipsed the cost of a top quarterback prospect in the National Football League. Bill Gates' 2b Clean Energy Fund Recently, the MIT Technology Review sat down for a Q&A session with Bill Gates and they discussed the Breakthrough Energy Coalition.

On June 19-21, the Financial Data Science Association will hold its regular conference in Dubrovnik, Croatia. The AI for Good Foundation has teamed up with FDSA to explore themes of transparency, regulation, and the positive impacts of increased data-driven decision making and intelligent systems in Finance. We encourage participation from a broad community to come and learn, debate, and contribute to the future vision of Sustainable and Transparent Financial Markets! FDSA aims to bring together thought leaders and actors from across the globe, industry, and academia, to present, debate, and construct a common vision for the integration of judicious data science into the investment and risk management process. We want to see how data is transforming finance today, and what it could do tomorrow as companies compete to innovate, and make use of their data resources to maximum advantage.

More and more, 67-year-old Washington resident Lon Coleman feels like he's wandering through a fog. He walks into the living room and forgets why, or makes a phone call only to blank on whose number he dialed. An author of three books who once wrote up to five poems a day, now the lines that spring to his mind often slip away as soon as he puts pencil to paper. Sometimes the fog clears, and when his memory comes back, "it's amazing," he says. "Sometimes it doesn't, I have to admit."

The tube is out back, 11 feet in diameter, 60 feet long, the unfinished end spiraling into wide ribbons of steel--like a gigantic Pillsbury dough container with its seams gaping open. Behind the tube is a big blue tent known as the robot school, where autonomous welders wheel or crawl along, making the tubes airtight. The goal is to put tracks and electromagnets inside the tube and vacuum the air out. Ultimately, capsules will scream through the center of such a tube at 700 miles per hour on a cushion of air--a way to get from A to B faster and more efficiently than planes or trains. The first public tests of this concept, albeit on an open-air track, will take place in North Las Vegas this week.