Since the start of the year, a team of researchers at Carnegie Mellon University — supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.
Americans Say No to Popular Political Facebook Ad Targeting | ClickZ - 0 views
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Eighty-six percent of Americans surveyed said they don't want political campaigns to customize messages based on their interests. Again, this has become a de facto approach to the way political advertisers use online advertising, particularly on Facebook. If a Facebook user, for example, shows an interest in gay rights issues by liking related organizations, chances are he might have been served an Obama for America Facebook ad in 2011 with a message focused on marriage equality: "President Obama supports repealing the Defense of Marriage Act. Add your support now!" stated a Facebook ad from the President's reelection campaign that appeared to be targeted to people who liked left-leaning groups on Facebook, including gay rights-related groups.
iBeacon Case Studies: The Beginners Guide To Beacons - Lighthouse - 0 views
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"McDonalds beacon case study (retail) 26 McDonald's franchises in Columbus, Georgia tested out iBeacon technology with its customers. Over the four week trial, the franchises were pushing special deals for McChicken Sandwiches and 10 piece Chicken McNuggets. The iBeacon powered promotions pushed McChicken Sandwich sales up 8 percent and Chicken McNugget sales up 7.5 percent. Based on the initial results of the pilot it looks as though McDonald's will continue to explore the technology for an additional 263 retail stores in the southeast. "Everyone is looking at their phones, millennials especially, and that's where we've decided to engage," Jack Pezold, a McDonald's franchisee of 40 years, said in a statement. Spotless beacon case study (enterprise) Spotless is an Australian owned and managed provider of integrated facilities management services. In 2014, Spotless partnered with Lighthouse to build and deploy a custom workforce management solution with the goal of reducing litigation claims in the commercial cleaning service line. The solution allowed Spotless to understand when cleaning KPI's are missed in real-time and produce employee location reports that can be used as legal defense against slip and fall litigation claims in shopping malls. Spotless has also been able to optimise their workforce and reduce operating costs by analyzing Lighthouse powered heat mapping of employee movements. The solution has been so successful that Spotless are extending the capability across other service lines including facilities management, security and maintenance. Read the full case study here. Pause Fest beacon case study (events) Pause Fest is Australia's premier digital event, aimed at supporting and showcasing the best in creative and tech from Australia and all over the world. In 2015, Pause Fest partnered with Lighthouse to deploy a network of beacons that delivered proximity based content and experiences to attendees, while enabling real-time event analyt
Technofascism blog » Blog Archive » US Dept of Defense wants autonomous robot... - 0 views
Facebook To Launch A Social App To Encourage Energy Efficiency @PSFK - 0 views
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Social media giant Facebook has partnered with the Natural Resources Defense Council (NRDC) and Opower to create a first-of-its-kind social energy application. The app hopes to raise awareness about conserving energy by allowing users to compare their energy use with friends and against a national average of similar homes. Users can also share energy-saving tips and participate in competitions.
Kotaku.com Updates: Amazon's First Mobile Game is a Fresh Take on Tower Defense - 0 views
Adding Weapons to ATM Defenses - WSJ.com - 0 views
Smarter Than You Think - Aiming to Learn as We Do, A Machine Teaches Itself - NYTimes.com - 0 views
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The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”
In Defense of Qwiki - The Machine That Reads to You - 0 views
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