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Kevin DiVico

Melding Computer Science and Game Theory to Make the World Work Better « A Sm... - 0 views

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    Ever since his grad student days at Hebrew University of Jerusalem, Amir Ronen, now a scientist at IBM Research -  Haifa, has been thinking about the intersection of game theory and computer science. In fact, he's one of the leaders in a sub-discipline, called algorithmic game theory, which lies at the intersection of the two fields.
Kevin DiVico

Global Forum on the Digital Society to advance city, healthcare, education, e... - 0 views

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    In the past few years, digital technologies have revolutionized everything from the way we work to the way we educate, inform and entertain ourselves. In fact, millions of engaged citizens are using the Web to connect and collaborate around shared concerns and opportunities in their communities and in international forums and institutions. Now, as Canada readies itself to host the World Congress on Information Technology (WCIT2012) in Montreal this October, we have a unique opportunity to mobilize large numbers of connected citizens to participate in a global, online conversation designed to elicit new ideas and innovations that could help address some of the world's most urgent challenges.
Kevin DiVico

Social Sentiment Analysis Changes the Game for Hollywood « A Smarter Planet Blog - 0 views

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    "Before I became a university professor, I had a long career in the entertainment business-first as a concert producer for the likes of Bob Dylan and The Band, and later as producer of motion pictures, including Martin Scorsese's Mean Streets and The Last Waltz. Both the music and movie industries have been utterly transformed by the Internet, in positive and negative ways. But I sense that we're still at the beginning stages of this big shift, and that some of the most interesting developments are yet to come. For example, social sentiment analysis is going to change the game for Hollywood marketing."
Kevin DiVico

Harbor Research Newsletter: Data Constellations and the Magic of Emergence | the intern... - 0 views

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    Harbor Research Newsletter: Data Constellations and the Magic of Emergence Data Constellations and the Magic of Emergence: "Is there really an image of a bear in the nighttime sky? How about an archer, or some girls, or a big and little dipper? Across the planet and the centuries, people have seen pictures in the stars-and more or less the same pictures, too. It takes a special kind of intelligence to do that. Dogs, for example, are intelligent creatures, but they don't see the pictures.
Kevin DiVico

[1204.4116] An existing, ecologically-successful genus of collectively intelligent arti... - 0 views

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    People sometimes worry about the Singularity [Vinge, 1993; Kurzweil, 2005], or about the world being taken over by artificially intelligent robots. I believe the risks of these are very small. However, few people recognize that we already share our world with artificial creatures that participate as intelligent agents in our society: corporations. Our planet is inhabited by two distinct kinds of intelligent beings --- individual humans and corporate entities --- whose natures and interests are intimately linked. To co-exist well, we need to find ways to define the rights and responsibilities of both individual humans and corporate entities, and to find ways to ensure that corporate entities behave as responsible members of society.
Kevin DiVico

Mathematica and the Next Generation of Big Data Geeks « A Smarter Planet Blog - 0 views

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    n 1961, IBM commissioned Charles and Ray Eames to create an exhibition for the California Museum of Science and Industry.  The resulting exhibition, called Mathematica: a World of Numbers, is a founding document of interactive STEM (Science Technology Engineering and Math) exhibitions.
Kevin DiVico

Making Sense of Big Data to Fight Crime « A Smarter Planet Blog - 0 views

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    There is no proverbial silver bullet to creating a safer city, but analytics technology is assisting law enforcement agencies all over the world to sort through information - part of the 2.5 quintillion bytes of data we create and consume every day - to get ahead of crime. Having access to all that information is an invaluable resource for law enforcement agencies, but it can also be pretty paralyzing. After all, only a fraction of the bits and bytes can actually be relevant, right? But how do you know and, more importantly, how do you find and act on it?
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