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Jeff Garzik's Bloq acquires Skry for machine learning and AI blockchain data analytics

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Bloq, the blockchain studio led by Jeff Garzik, has acquired Skry, a pioneer in blockchain analytics, to enhance its suite of analysis tools. The move will maximise the value of blockchain data sets through artificial intelligence and machine learning, said a statement. The transaction, which closed on February 24, is Bloq's first acquisition and includes all of Skry's intellectual property and team. Jeff Garzik, CEO and co-founder of Bloq, said: "Blockchain networks need more than a rudimentary finder or explorer. We're ensuring that enterprises won't have to'fly blind' without a complete understanding of the performance, economics and irregularities of their underlying networks."


The Five Rising SEO Trends You Need To Master in 2017

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The future of SEO involves artificial intelligence, machine learning and digital assistants. And also: voice search, irresistible content and personalized, really specific user experiences. In other words, we're seeing the rise of SEO that is intensely becoming both machine- and human-focused, in amazing, astounding ways. Then again, here's the thing: search is always in evolution mode. It's shaped and reshaped by the constantly shifting needs and wants of humans.


A Jetsons world: how artificial intelligence will revolutionize work and play - SiliconANGLE

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As artificial intelligence tools become smarter and easier to use, the threat that they may take human jobs is real. They might also just make people much better at what they do, revolutionizing the workday for many. "What a bulldozer was to physical labor, AI is to data and to thought labor," said Naveen Rao (pictured), Ph.D., vice president and general manager of artificial intelligence solutions at Intel. Rao told John Furrier (@furrier), host of theCUBE, SiliconANGLE Media's mobile live streaming studio, during South by Southwest in Austin, TX, that there are many examples of how AI can help streamline processes; one would be an insurance firm needing to read millions of pages of text to assess risk. "I can't do that very easily, right? I have to have a team of analysts run through, write summaries -- these are the kinds of problems we can start to attack," he said.


Demand for online courses high in Chennai - Times of India

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CHENNAI: With automation and artificial intelligence emerging in several sectors, more prominently in the IT sector, employees are looking at upskilling' or re-skilling themselves by gaining new skills such as Android Development, Machine Learning, and so on. This is directly reflecting on the kind of courses people are searching for and enrolling in. Udacity, a US-based online educational platform, recently released a survey that reflects on the kind of interest being shown in online courses. In Chennai, some of the popular online courses include those that involve data analysis, deep learning, android development, machine learning, and frontend web developer jobs. The platform which carries out online learning found that the three most popular courses in the country which saw the highest de mand were Android Development, Machine Learning and Deep Learning.


RiskSense Raises $14 Million for Intelligent Vulnerability Management - eSecurity Planet

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Add one more to the growing tally of security funding deals in early 2017. RiskSense, an Albuquerque, NM cyber-risk management company, announced this week that it had raised $14 million in a Series A round of financing. "The funding raised by existing investors Paladin Capital Group, Sun Mountain Capital, EPIC Ventures, and CenturyLink and a new investor Jump Capital will enable RiskSense to expand sales and marketing, enter new markets such as cyber-security insurance, and broaden and accelerate product development," Dr. Srinivas Mukkamala, co-founder and CEO of RiskSense, told eSecurity Planet. Spun off from New Mexico Institute of Mining and Technology and acting as advisors to the U.S. Department of Defense and U.S. Intelligence Community, RiskSense uses of artificial intelligence (AI) technologies, particularly machine learning, to help governments and enterprise organizations identify and prioritize risks to their networks and data. "RiskSense is changing the way organizations detect and manage cyber risk," said Mukkamala.


Pathnet is Deepmind's step to a super neural network for creating an artificial general intelligence

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For artificial general intelligence (AGI) it would be efficient if multiple users trained the same giant neural network, permitting parameter reuse, without catastrophic forgetting. PathNet is a first step in this direction. It is a neural network algorithm that uses agents embedded in the neural network whose task is to discover which parts of the network to re-use for new tasks. Agents are pathways (views) through the network which determine the subset of parameters that are used and updated by the forwards and backwards passes of the backpropogation algorithm. During learning, a tournament selection genetic algorithm is used to select pathways through the neural network for replication and mutation. Pathway fitness is the performance of that pathway measured according to a cost function.


What Do Bots Mean for Insurance? - Insurance Thought Leadership

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As odd as it sounds, chatbots can let customers communicate in a natural way with companies and greatly enhance the experience. As customers increasingly demand a better experience when they interact with companies, including insurers, help is coming from a counterintuitive source. It turns out that one of the best ways to be more personal is through… robots. More precisely, the answer is turning out to be chat robots, or "chatbots." People don't like having to phone call centers and wade through that phone tree -- "Para continuar en espanol, oprima uno… For billing, press 2; for…."


A.I.: The Next U.S.-China Arms Race?

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Although China could initially only observe the advent of the Information-Technology Revolution in Military Affairs, the People's Liberation Army might presently have a unique opportunity to take advantage of the military applications of artificial intelligence to transform warfare. When the United States first demonstrated its superiority in network-centric warfare during the first Gulf War, the PLA was forced to confront the full extent of its relative backwardness in information technology. Consequently, the PLA embarked upon an ambitious agenda of "informatization" (???). To date, the PLA has advanced considerably in its capability to utilize information to enhance its combat capabilities, from long-range precision strike to operations in space and cyberspace. Currently, PLA thinkers anticipate the advent of an "intelligentization Revolution in Military Affairs" that will result in a transformation from informatized ways of warfare to future "intelligentized" (???) warfare. For the PLA, this emerging trend heightens the imperative of keeping pace with the U.S. military's progress in artificial intelligence, after its failure to do so in information technology.


Can Artificial Intelligence be Used For Stock Trading? - Nanalyze

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If you;re an average retail investor who just saw a 60-minute special on artificial intelligence (AI), you probably thought to yourself;why can;t we use AI for stock trading;? Then maybe you plugged the phrase;artificial intelligence stock trading; into Google and this article popped up.


Google reCAPTCHA Is Now Invisible

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The reCAPTCHA is the most popular CAPTCHA service made by Google. You've seen it a million times when you sign up a page across the web. Its primary goal is to separate humans from a bot. It challenges users by deciphering a photo of words or numbers or picking objects in a grid of photos. But that process of verifying whether you're a human or not is over because Google is changing it. Recently, the company introduces the invisible reCAPTCHA.