Ben Dickson is a software engineer and the founder of TechTalks. As artificial intelligence and machine learning mature and manifest their potential to take on complicated tasks, we've become somewhat expectant that robots can succeed where humans have failed -- namely, in putting aside personal biases when making decisions. But as recent cases have shown, like all disruptive technologies, machine learning introduces its own set of unexpected challenges and sometimes yields results that are wrong, unsavory, offensive and not aligned with the moral and ethical standards of human society. While some of these stories might sound amusing, they do lead us to ponder the implications of a future where robots and artificial intelligence take on more critical responsibilities and will have to be held responsible for the possibly wrong decisions they make. At its core, machine learning uses algorithms to parse data, extract patterns, learn and make predictions and decisions based on the gleaned insights.

It seems like almost every day a new headline warns us that artificial intelligence (AI) will soon take over the world, or at the very least steal jobs. Even when AI is not in the news, Hollywood offers up a steady stream of entertainment that depicts a very near future in which life as we know it is threatened by super-intelligent machines. These scenarios have something in common: they oversimplify and misrepresent an important and broader set of transformative technologies that hold great promise for business and society. They indulge in fantasy rather than take into account a rational and better-informed dialogue currently underway in the scientific, policy and business communities about what we consider the third age of computing -- the cognitive era. Cognitive computing -- of which AI is but one part -- refers to an entirely new class of technologies whose purpose is to deepen human engagement, scale and elevate expertise, enable new products and services, and enhance exploration and discovery.

Fedscoop: Autonomy and artificial intelligence may be integral to the Defense Department's Third Offset Strategy, but making those technologies useful will require IT investments to integrate them into defense systems, a new report says. "Both the DOD and the Intelligence Community, they are investing in these technologies. So artificial intelligence is a big priority area, machine learning, all these technologies," Matthew Hummer, director of analytics at big-data and analytics firm Govini, told FedScoop. "But they haven't really done a good job of integrating it into the current Distributed Common Ground Systems. And that's because those systems really need pretty much a big overhaul to be able to do that."

Autonomy and artificial intelligence may be integral to the Defense Department's Third Offset Strategy, but making those technologies useful will require IT investments to integrate them into defense systems, a new report says. "Both the DOD and the Intelligence Community, they are investing in these technologies. So artificial intelligence is a big priority area, machine learning, all these technologies," Matthew Hummer, director of analytics at big-data and analytics firm Govini, told FedScoop. "But they haven't really done a good job of integrating it into the current Distributed Common Ground Systems. And that's because those systems really need pretty much a big overhaul to be able to do that."

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Many data set resources have been published on DSC, both big and little data. Some associated with our data science apprenticeship. A list can be found here. Below is a repository published on Github, originally posted here. Quora: Where can I find large datasets open to the public?

While the future of the Affordable Care Act, popularly known as Obamacare, is quite uncertain, parts of the famous healthcare reform act likely will have a lasting impact. "The transformative opportunity here is all about the reimbursement shift from fee-for-service to the accountable care model, with the Centers for Medicare and Medicaid Services the major driver behind it," said John Sculley, chairman of the board and chief marketing officer at RxAdvance who previously served as CEO of Apple and PepsiCo. "And as we know there are hundreds of accountable care organizations out there, some operating under one definition and some under others. This is an evolving thing." Sculley is looking at this transformative opportunity in healthcare through the lens of his company RxAdvance, a vendor of a cloud-based pharmacy benefit management platform.

Leading information technology companies are rushing to create systems that use artificial intelligence to defend against cyberattacks. The goal is to commercialize AI software to detect even ingeniously designed attacks, identify the perpetrators, and quickly mount a defense. However, research is also taking place in the U.S. and elsewhere on ways to harness AI for cyberwarfare, and the trend suggests there will come a time when the battles in cyberspace pit AI against AI, leaving humans sidelined. Fujitsu Laboratories, the R&D unit of Japanese IT giant Fujitsu, has begun to develop an AI system to protect corporate information systems from cyberattack. The system would learn to recognize regular patterns of network activity so deviant behavior stands out.

When it comes to artificial intelligence, forget the scary movies about rebellious robots or the dire warnings of a dystopian world of disconnected humanity imagined by some popular writers. AI promises, rather, to change our lives in profound ways we are just beginning to experience, according to a ground-breaking survey produced by Stanford University. Stanford is taking the long view of AI, with a project called One Hundred Study on Artificial Intelligence (AI100). The study, written by a panel of AI experts from multiple fields including healthcare, will continue as an ongoing activity, with periodic reports examining how AI will touch different aspects of daily life. The first of those reports, "Artificial Intelligence and Life in 2030," looks into the effects that AI advancements will have on a typical North American city a little more than a decade from now.

An oil droplet guided by a wave, similar to the pilot wave model of quantum theory. There has been a lot of digital ink spilled over the recent paper on the reactionless thrust device known as the EMDrive. While it's clear that a working EM Drive would violate well established scientific theories, what isn't clear is how such a violation might be resolved. Some have argued that the thrust could be an effect of Unruh radiation, but the authors of the new paper argue instead for a variation on quantum theory known as the pilot wave model. One of the central features of quantum theory is its counter-intuitive behavior often called particle-wave duality.