The use of MRI as a diagnostic tool for mental disorders has been a consistent goal of neuroimaging research. Despite this, the vast majority of prior work is descriptive rather than predictive. The current study examines the utility of applying support vector machine (SVM) learning to MRI measures of brain white matter in order to classify individuals with major depressive disorder (MDD). In a precisely matched group of individuals with MDD (n 25) and healthy controls (n 25), SVM learning accurately (70%) classified patients and controls across an unselected brain map of white matter fractional anisotropy values (FA). Using a feature selection approach, where maximal discriminative voxels were selected, classification accuracy increased to over 90%.

I just asked a bot to tell me how much I spent on coffee this past month. And a few moments later, it replied. Certainly, I drink an awful lot of coffee. After asking the bot for a bit more information, I can happily say I spent at least some of that nearly two hundred dollars on chopped fruit and the occasional pastry. The bot didn't actually explain this, but it did give me list all payments to coffee shops, which made things clear.

Hay Newman continues, "ALPHA was developed by aerospace engineer Nick Ernest, a recent doctoral graduate of University of Cincinnati whose company Psibernetix works with the Air Force Research Laboratory. ALPHA has been victorious in numerous simulated battles against top fighter pilots, including a series in October against retired United States Air Force Colonel Gene Lee. Lee told University of Cincinnati Magazine that: 'It seemed to be aware of my intentions and reacting instantly to my changes in flight and my missile deployment. It knew how to defeat the shot I was taking. It moved instantly between defensive and offensive actions as needed.

Artificial intelligence, or AI, may never simulate human intelligence, but it's still better at some tasks than humans are. Disconcertingly, one of those tasks is "blowing other humans out of the sky." And not only can this AI outfly a human, it can do it on a computer anybody can pick up at Best Buy. The University of Cincinnati has been building an AI named Alpha to improve military drones. The idea is not to teach the drone how to operate completely on its own, but rather to research how AI could improve them.

Ask Apple's Siri digital assistant if she's evil, and she'll respond curtly, "Not really." Repeat a famous line from the movie "2001: A Space Odyssey," in which a computer on a spaceship kills nearly all the human crew, and Siri groans. And who can blame her? We humans have a morbid fascination with machines rising up to wipe us out or to enslave us as cocooned, flesh-and-blood battery packs. You can see that vision of the future streaming over Netflix whenever you want.

As a result, Arcas and his team are now able to teach these machines how to express their perceptions in ways of which we would've never thought possible. Many today might even deny that computers are able to be creative, claiming that only humans are uniquely capable of such. Though, as Arcas noted in his talk, "perception and creativity are by no means uniquely human. We start to have computer models that can do exactly these sorts of things. And that ought to be unsurprising; the brain is computational."

Two years ago, VLC-maker VideoLan rolled out a version of its popular open source media player for the Windows Store. Now the group is back with a new beta version of VLC for the Windows Store built on the universal Windows platform (UWP) for Windows 10. Even better, the app actually takes advantage of the UWP to bring VLC to multiple Windows 10 device types, including PCs, tablets, Windows 10 Mobile, and even the HoloLens augmented reality headset. As if that wasn't enough, the UWP version of VLC is coming to the Xbox One later this summer once Microsoft opens up the console to third-party UWP apps. The powerful, beloved VLC seems like a perfect showcase for what's possible with UWP on the Xbox One, and a great fit for your TV.

Asking a bunch of literate people about the Great American Novel is an open invitation for us all to show off and make cogent, compelling arguments about the importance of [insert a favorite novel here] in the canon of American literature, regardless of whether anyone outside our small circle of literary compatriots knows of the novel or would agree. As a science fiction and fantasy writer, for example, I can make a pretty good argument for Philip K. Dick's "The Man in the High Castle" or Ray Bradbury's "Fahrenheit 451," or maybe even Mark Helprin's "Winter's Tale," and I might even get a cheering section behind the choice. Ubiquity: It has to be a novel that a relatively large number of Americans have read, and that a large proportion of those who haven't read it know about in other ways (for example, by a popular filmed adaptation). Notability: There has to be a general agreement that the novel is significant -- it has literary quality and/or is part of the cultural landscape in a way that's unquestionable (even if critically assailable). Morality: It needs to address some unique aspect of the American experience, usually either our faults or our aspirations as a nation, with recognizable moral force (not to be confused with a happy ending).

You know who you are.) These researchers decided to watch people's brains with an fMRI in order to glean some hints that could be used for a better navigational algorithm.] I wrote earlier this year about some of the ways that AI is helping us to do our jobs better. One of these is in more efficient route planning to help service personnel get to jobs faster. It's the kind of travelling salesman problem that has been challenging people since the 1930s due to the computational difficulties involved.

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