Mathematical Foundations for Social Computing

Communications of the ACM

Yiling Chen (yiling@seas.harvard.edu) is Gordon McKay Professor of Computer Science at Harvard University, Cambridge, MA. Arpita Ghosh (arpitaghosh@cornell.edu) is an associate professor of information science at Cornell University, Ithaca, NY. Michael Kearns (mkearns@cis.upenn.edu) is a professor and National Center Chair of Computer and Information Science at the University of Pennsylvania, Philadelphia, PA. Tim Roughgarden (tim@cs.stanford.edu) is an associate professor of CS at Stanford University, Stanford, CA. Jennifer Wortman Vaughan (jenn@microsoft.com) is a senior researcher at Microsoft Research, New York, NY.


Mathematical Foundations for Social Computing

#artificialintelligence

Yiling Chen (yiling@seas.harvard.edu) is Gordon McKay Professor of Computer Science at Harvard University, Cambridge, MA. Arpita Ghosh (arpitaghosh@cornell.edu) is an associate professor of information science at Cornell University, Ithaca, NY. Michael Kearns (mkearns@cis.upenn.edu) is a professor and National Center Chair of Computer and Information Science at the University of Pennsylvania, Philadelphia, PA. Tim Roughgarden (tim@cs.stanford.edu) is an associate professor of CS at Stanford University, Stanford, CA. Jennifer Wortman Vaughan (jenn@microsoft.com) is a senior researcher at Microsoft Research, New York, NY.


Apple to pay $24.9 million to settle Siri patent lawsuit

AITopics Original Links

Apple has agreed to pay $24.9 million to a patent holding company to resolve a 5-year-old lawsuit accusing Siri of infringing one of its patents. Apple will pay the money to Marathon Patent Group, the parent company of Texas firm Dynamic Advances, which held an exclusive license to a 2007 patent covering natural language user interfaces for enterprise databases. Marathon reported the settlement in a filing with the U.S. Securities and Exchange Commission Tuesday. On Wednesday, in response to the settlement, Magistrate Judge David Peebles of U.S. District Court for the Northern District of New York dismissed a lawsuit against Apple filed by Dynamic Advances and Rensselaer Polytechnic Institute in Troy, New York, where the natural language technology was created. A trial had been scheduled to begin early next month in Syracuse, New York.


Why the internet of things could destroy the welfare state

AITopics Original Links

On 24 August 1965 Gloria Placente, a 34-year-old resident of Queens, New York, was driving to Orchard Beach in the Bronx. Clad in shorts and sunglasses, the housewife was looking forward to quiet time at the beach. But the moment she crossed the Willis Avenue bridge in her Chevrolet Corvair, Placente was surrounded by a dozen patrolmen. There were also 125 reporters, eager to witness the launch of New York police department's Operation Corral โ€“ an acronym for Computer Oriented Retrieval of Auto Larcenists. Fifteen months earlier, Placente had driven through a red light and neglected to answer the summons, an offence that Corral was going to punish with a heavy dose of techno-Kafkaesque. It worked as follows: a police car stationed at one end of the bridge radioed the licence plates of oncoming cars to a teletypist miles away, who fed them to a Univac 490 computer, an expensive $500,000 toy ($3.5m in today's dollars) on loan from the Sperry Rand Corporation. The computer checked the numbers against a database of 110,000 cars that were either stolen or belonged to known offenders. In case of a match the teletypist would alert a second patrol car at the bridge's other exit. It took, on average, just seven seconds. Compared with the impressive police gear of today โ€“ automatic number plate recognition, CCTV cameras, GPS trackers โ€“ Operation Corral looks quaint.


#BigData (and #ioT), Big City

#artificialintelligence

Back in October 2014, I wrote a piece (Big Data Grows Up, ...and up, ... and up) after seeing an article in the Wall Street Journal about how someone with a telescope on a rooftop in Brooklyn, NY was studying the NY skyline, gleaning intelligence about when lights in the various neighborhoods in the city were turning on and off, gaining an understanding about life patterns in those areas (as well as the type of lightbulbs being used). Think about that for a minute. Well, this morning (12/12), the Journal, as part of its series on life in the year 2050, tells of the spycams, sensors, and other data gathering devices that are all over New York City and elsewhere in the world, gathering information on the rhythms in the world's first megacity (as of 1950). Interestingly, one team has photographed the city every ten seconds for 2 years. That will tell a story, over time.