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How Watson is Powering IBM's Content Marketing

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You might know IBM's Watson from its famous victory on Jeopardy!, or for revolutionizing data analysis with its ability to crunch millions of pieces at once. Now, IBM is poising Watson to be the next big name in marketing. It's the technological entity behind IBM's new THINK Marketing hub, which is updated with nine pieces of thought leadership content every day. The website is part of a long-term strategy for IBM to position itself as a marketing technology leader, and expand its reach into new client territories beyond the Fortune 500s. As IBM's Chief Digital Officer Bob Lord explains, the company has made big strides in cognitive cloud computing software and services that can fundamentally change the way marketers, entrepreneurs, developers, and many others currently work.


Artificial Intelligence Is About To Enter The World Of Online Gaming - CINEMABLEND

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The AI has a long ways to go before it's on a level of competing at a tournament, but right now Vinyals and the crew working on DeepMind have been setting up the parameters and giving the AI the necessary tools to play the game effectively. Since it doesn't use hands or have a physical body, it does everything through simulation, which can create a bit of a conundrum when facing off against humans, given that the AI could technically cheat and access keystrokes and mouse actions in ways that only a computer cold, thus cheating at the game by making millions of calculated moves per minute.


Hyper Networks

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In this post, I will talk about our recent paper called [1609.09106] I worked on this paper as a Google Brain Resident - a great research program where we can work on machine learning research for a whole year, with a salary and benefits! The Brain team is now accepting applications for the 2017 program: see g.co/brainresidency. The weight matrices of the LSTM are changing over time. Most modern neural network architectures are either a deep ConvNet, or a long RNN, or some combination of the two. These two architectures seem to be at opposite ends of a spectrum. Recurrent Networks can be viewed as a really deep feed forward network with the identical weights at each layer (this is called weight-tying). A deep ConvNet allows each layer to be different.


Slack Bots and Natural Language on SitePoint

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Do you want your Slack bot to be able to parse the intent behind your users' messages? This screencast will teach you best practices regarding bot design related to Artificial Intelligence (AI), using wit.ai, to enhance the bot that we created in the Starting out with the Slackbots video. We will give it the ability to understand a simple set of commands in natural language. This capability could be expanded to make truly amazing Slack bots capable of understanding and reacting to all manner of natural language input!


How 3D Printing and IBM Watson Could Replace Doctors

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Health care executives from IBM Watson and Athenahealth athn debated that question onstage at Fortune's inaugural Brainstorm Health conference Tuesday. In addition to partnering with Celgene celg to better track negative drug side effects, IBM ibm is applying its cognitive computing AI technology to recommend cancer treatment in rural areas in the U.S., India, and China, where there is a dearth of oncologists, said Deborah DiSanzo, general manager for IBM Watson Health. For example, IBM Watson could read a patient's electronic medical record, analyze imagery of the cancer, and even look at gene sequencing of the tumor to figure out the optimal treatment plan for a particular person, she said. "That is the promise of AI--not that we are going to replace people, not that we're going to replace doctors, but that we really augment the intelligence and help," DiSanzo said. Athenahealth CEO Jonathan Bush, however, disagreed.


Google's artificial intelligence team DeepMind sets its sights on StarCraft 2

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At BlizzCon on Friday, Google research scientist Oriol Vinyals announced that StarCraft 2 was being opened up to artificial intelligence researchers around the world. The goal: to create better AI opponents for StarCraft 2, and possibly even create AI coaches that could teach humans how to better play the strategy game. Of course, the goal of AI development is not just to match human players but best them, and just as DeepMind's AI program AlphaGo beat human champion Go player Lee Se-dol earlier this year, DeepMind wants its AI to someday take on a human StarCraft 2 champion. There will be more details about DeepMind's interest in StarCraft 2 revealed later during the convention, and we'll update you if we hear anything else.


Artificial Intelligence Swarms Silicon Valley on Wings and Wheels - NYTimes.com

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For more than a decade, Silicon Valley's technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie. Now Silicon Valley has found its next shiny new thing. And it does not have a "Like" button. The new era in Silicon Valley centers on artificial intelligence and robots, a transformation that many believe will have a payoff on the scale of the personal computing industry or the commercial internet, two previous generations that spread computing globally. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered in the world.


Technology Conference in San Francisco Brings Together International Researchers

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More than 250 leading researchers from over 50 countries will gather at the Future Technologies Conference (FTC) in San Francisco next month. Running from 6 โ€“ 7 December, this event will focus on the future trends in technology and various experts will explore a plethora of topics such as: artificial intelligence, machine learning, data science, security, IoT, robotics. She will speak about cognitive computing and how recent changes in the availability of data have driven rapid advances in analytics, enabling smarter applications, and bringing us to this new era. "We'll see how Watson, the Jeopardy!-playing Ruzena Bajcsy, Professor at the University of California, Berkeley will explore about the development of personalized models of kinematic and dynamics of an individual during physical activities and its applications in improving healthcare. Ella Atkins Professor of Aerospace Engineering at the University of Michigan will describe long-term research in improving safety and robustness through autonomous contingency management with application to manned and unmanned aircraft. Dr. Atkins will also summarize her research on the use of nontraditional databases and real-time data to reduce risk to people and property. Other speakers include James Loudermilk - Senior Level Technologist at the Federal Bureau of Investigation (FBI) Science and Technology Branch, Bin He - Director of Institute for Engineering in Medicine, University of Minnesota and Arjuna Chala - Sr. Director of Innovation and Emerging Technology at HPCC Systems. In two days, the conference will host a total of six keynotes, five project demonstrations and 190 paper presentations organized into thirty sessions. The conference program also offers various networking opportunities including an evening reception which will give attendees the chance to mingle with other researchers after a day full of speakers, meetings, and thought-provoking topics. FTC 2016 is organized by The Science and Information (SAI) Organization whose mission is to connect global research community through journals, conferences and technical activities. Sponsors and partners for FTC 2016 include HPCC Systems, IEEE, IBM Research, University of Michigan, IBM Watson AI XPrize and Brown University. "We've invited experts from across the globe to attend and offer insights on the future of technology and research.


Google DeepMind's next gaming challenge: can AI beat Starcraft II?

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DeepMind, the British artificial intelligence company that's now a part of Google, stunned the world back in March when its AlphaGo AI defeated world-champion Go player Lee Se-dol to achieve one of the most sought-after feats in computer science. The ancient Chinese board game of Go was considered the most difficult "perfect information" game for computers to crack, as the dizzying complexity produced by its simple rules requires a highly advanced degree of intuition to play at a serious level, but AlphaGo managed it with a revolutionary system built on neural networks and machine learning. Now DeepMind is turning its attention to a game that will pose an even bigger challenge: StarCraft II. Blizzard Entertainment's real-time strategy hit is one of the most fiercely competitive games played professionally around the world, and the company is working together with DeepMind to release it as an AI research environment. The announcement is being made at Blizzard's annual conference, BlizzCon.