Source – techtarget.com A new password guessing technique takes advantage of machine learning technologies. Expert Michael Cobb discusses how much of a threat this is to enterprise security. What happens when authentication and access control measures are attacked by adversaries equipped with machine learning? This question has been examined in a couple of recent university studies, and Read More

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Source – forbes.com Algorithms are incredible aids for making data-driven, efficient decisions. And as more industries uncover their predictive power, companies are increasingly turning to algorithms to make objective and comprehensive choices. However, while we often rely on technology to avoidinherent human biases, there is a dark side to algorithm-based decisions: the potential for homogenous data sets to produce Read More

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Source – techcentral.co.za Not much time passes these days between so-called major advancements in artificial intelligence. Yet researchers are not much closer than they were decades ago to the big goal: actually replicating human intelligence. That’s the most surprising revelation by a team of eminent scholars who just released the first in what is meant to be Read More

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Source – nydailynews.com The internet changed travel planning for most people years ago, but even a high-powered search engine has its limitations when it comes to plotting out the perfect weekend getaway or lengthy European excursion. Yes, an online search provides plenty of travel options. In fact, it may be too many, so that the would-be Read More

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Source – phys.org In artificial intelligence (AI), machines carry out specific actions, observe the outcome, adapt their behavior accordingly, observe the new outcome, adapt their behavior once again, and so on, learning from this iterative process. But could this process spin out of control? Possibly. “AI will always seek to avoid human intervention and create a Read More

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Source – forbes.com In part one of this two-part series, we covered the complexity of the digital identity problem and some early-market solutions. Read on for part two below! Machine Learning In Digital Identity Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, Read More

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Source – techtarget.com For the average worker, particularly the mobile worker, both the complexity of tools and the need for consultation with experts make it difficult to realize productivity improvement through analytics. However, microservices may hold the key to solving this problem. Since applications are being driven to microservice form by increased needs for context-sensitive work Read More

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Source – ndtv.com Helsinki: Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland-based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More

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Source – dailypioneer.com Cyber security companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland- based internet security firm F-Secure said. As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cyber security firms Read More

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Source – ibc.org AI is a technology on the cusp. While nothing actually new in itself, a recent convergence of increased computational power with a mushrooming of large datasets and the refinement of existing understanding of the techniques involved has seen it become an important differentiator in the industry. Following a breakthrough year in 2015 when Read More

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Source – mediaupdate.co.za Machine learning allows the algorithms that software and systems use to evolve as they process new data. Contrary to what many people think, humans play an integral role in this process and in applying machine learning-driven solutions to real-world problems. Machine learning allows systems and AI engines to automatically learn and improve from experience. Read More

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Source – techspective.net For most businesses today, data management has shifted from an important competency to a critical differentiator and determines industry winners and has-beens. Government bodies and Fortune 1000 companies benefit from the innovations of web developers. These organizations are reevaluating existing strategies and defining new initiatives to transform their businesses using “big data”. These Read More

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Source – thenational.ae In his 1990 book The Age of Intelligent Machines, the American computer scientist and futurist Ray Kurzweil made an astonishing prediction. Working at the Massachusetts Institute of Technology (MIT) throughout the 1970s and 1980s and having seen firsthand the remarkable advances in artificial intelligence pioneered there by Marvin Minsky and others, he forecast that a computer Read More

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Source – irishtimes.com If ever there was an industry ripe for disruption it is surely the legal profession. Unlike many other sectors, however, it has tended to be a little reticent about embracing technology to innovate. This isn’t too surprising. After all, the traditional way of doing business for legal firms has been extremely profitable. The Read More

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Source – manitobacooperator.ca An expedition through published and unpublished studies on neonicotinoid pesticides has led a Guelph research team to find no colony-level risk to honeybees from the seed treatments — if they’re correctly used. The University of Guelph team, led by toxicologist Keith Solomon and adjunct professor Gladys Stephenson, analyzed 64 papers from “open, peer-reviewed Read More

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Source – opensource.com I struggled with writing the title for this post, and I worry that it comes across as clickbait. If you’ve come to read this because it looked like clickbait, then sorry.1 I hope you’ll stay anyway: there are lots of fascinating2 points and many3 footnotes. What I didn’t mean to suggest is that microservices cause security problems—though like any component, Read More

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Source – cio.economictimes.indiatimes.com Insurance has become an extremely competitive market! While there are several players, customers are increasingly becoming aware about what they need. They are now seeking a more individualized experience and if you cannot provide it, rest assured they will find another company that does. So, how do companies find ways to address the Read More

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Source – securityboulevard.com The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware. In cyber security, machine learning algorithms can learn by Read More

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Artificial Intelligence