Robots make fantastic remote-sensing systems, ideal for sending in to disaster areas or for search-and-rescue. Drones in particular can move rapidly over large areas or through structures, identifying damage or looking for survivors by sending a video feed from their on-board cameras to a remote operator. While the data that drones provide can be invaluable, managing them can be quite difficult, especially once they get beyond line-of-sight. Researchers from Graz University of Technology, in Styria, Austria, led by Okan Erat, want to change the way we interface with drones, using augmented reality to turn them from complicated flying robots into remote cameras that an untrained user can easily control. Through a HoloLens--Microsoft's mixed reality head-mounted display--a drone can enable a sort of X-ray vision, allowing you to see straight through walls and making controlling the drone as easy as grabbing a virtual drone and putting it exactly where you want it to be.

When you hear the words "artificial intelligence", what do you think of? A machine that thinks, communicates, and behaves like a human? This kind of general AI still exists only in science fiction. But other, contextually specific types of AI not only exist, they already help power the payments industry. What do we mean by AI?

The Air Force is hoping advances in artificial intelligence mean the abundance of data from its aircraft, weapons and satellites will be easier to access and analyze. "There's certainly a data aspect piece" of artificial intelligence, Air Force Vice Chief of Staff Gen. Stephen "Seve" Wilson said Monday. "I think we all would agree, maybe, that data is the'renewable oil' of the 21st century," Wilson said during the Future of War conference hosted by New America and Arizona State University. "With that data, we have to be able to have the right algorithms that connect the data, and understand the data, to a network. I think the cloud's a part of this, and I think'compute on the edge' is a part of this," he said, referencing a streamlined approach to avoid stovepiping information flow needed at the speed of war.

There are several established healthcare companies and startups in the Femtech space, which use disruptive technology including artificial intelligence, machine learning, big data, and the Internet of Things to develop interactive digital health applications for women's health. The majority of spending on other diseases has a male-specific research focus and this is separate from the research spending on male-specific conditions such as prostate cancer, which accounts for 2% of overall funding. Yet women today make up 49.6% of the total population and the economic burden for women's diseases is currently more than $500 billion. Additionally, with healthcare increasingly becoming personalized and patient-centric, now is the time to address the fundamental question of whether care delivery and management should be gender neutral. For several decades, healthcare products and solutions were designed, developed, and delivered without much attention to the fact that healthcare needs are different for men and women, considering their physiological differences.

MATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. This video will help beginners build a foundation in machine learning using MATLAB. You'll start by getting your system ready with the MATLAB environment for machine learning and you'll see how to easily interact with the MATLAB workspace. You'll then move on to data cleansing, mining, and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll learn about the different types of regression technique and how to apply them to your data using the MATLAB functions.

Youth Unemployment & the Lost Generation. It's enough to make your head spin! We are living in a time of unparalleled change and contradictions. At the same time we have amazing changes technology and business models that are providing opportunities and riches for some and leaving others behind, frustrated, confused and angry. Not since the mid-1800s have we seen such a radical change in labor markets, business models and political systems.

Artificial intelligence will solve Facebook's most vexing problems, chief executive Mark Zuckerberg insists. He just can't say when, or how. Zuckerberg referred to AI technology more than 30 times during ten hours of questioning from congressional lawmakers Tuesday and Wednesday, saying that it would one day be smart, sophisticated and eagle-eyed enough to fight against a vast variety of platform-spoiling misbehavior, including fake news, hate speech, discriminatory ads and terrorist propaganda. Over the next five to 10 years, he said, artificial intelligence would prove a champion for the world's largest social network in resolving its most pressing crises on a global scale -- while also helping the company dodge pesky questions about censorship, fairness and human moderation. "We started off in my dorm room with not a lot of resources and not having the AI technology to be able to proactively identify a lot of this stuff," Zuckerberg told the lawmakers, referring to Facebook's famous origin story.

In an industry that is progressing at a blistering speed, finance's only option to stay on top of the game is with AI, reducing the roles humans have played for centuries. Unless you've been hiding under a rock for the past two years, you would have seen the bedlam surrounding the stratospheric rise of cryptocurrency. This is particularly relevant with bitcoin, going from something at the fringe of fintech to the mainstream as every person and their dog suddenly considered investing in a real unknown quantity. While its long-term existence remains to be seen, the continued interest has shown that traditional banks and the latest start-ups have identified that the old ways of turning up to a branch, or even using an ATM, could be the banking equivalent of watching a movie on VHS. In its place comes a raft of new technologies, none more so apparent than the one that promises to not only shake up how customers interact with their banks, but how banks fundamentally operate: artificial intelligence (AI). From an outsider's perspective, the most obvious sign of AI's role in the change of banking is part of the overall digitisation of the traditional bank, whereby instead of dealing with physical branches or human tellers, you operate largely online, particularly through mobile.

Amazon's acquisition of connected home company Ring is complete, and to celebrate, the online retail giant is offering a nice deal. For a limited time, you can get a Ring Wi-Fi Enabled Video Doorbell in Satin Nickel for just $100. At the time of writing, the doorbell is currently not in stock until April 25, 2018, so people have clearly been taking advantage of this promotion. It's important to note this is for the original Ring doorbell, which was previously $133 on Amazon. The more recent Ring 2 doorbell retails for $199 and is not on sale.

Among Ron Grantham's happiest memories are the days he spent fly-fishing with his beloved dog, Spot. Now those memories are being revived by visits from his new best friend, Biscuit - a robotic dog. Grantham is 99 years old and lives in Templeman House, a British care home, which brought in Biscuit. Staff there say dogs - even robotic dogs - can help to elicit memories from residents and spark conversations with care providers. Staff at Templeman House, a British care home, say dogs can help to elicit memories from residents and spark conversations with care providers. 'I found out today that Ron used to go fly fishing when he finished work and take the dog across the fields with him while he fished,' said Deanna Barnes, home manager at care home, told Reuters.