GraphLab Raises $6.75M For Data Analysis Used In Consumer Recommendation Services
GraphLab, the open-source distributed database, has received $6.75 million from Madrona Venture Group and NEA for its machine learning technology used to analyze data graphs for recommendation engines. Developed five years ago at Carnegie Mellon University five years ago, the open-source data analysis platform takes semi-structured data that describe relationships between people, web traffic, product purchases and other data. It then analyzes that data for services to provide online recommendations. Graph databases, similar to Graphlab, have increased in use as more data needs correlating to better understand its meaning. Wikiepdia describes graph database in the context of graph theory. It applies mathematical structures “used to model pairwise relations between objects. A graph in this context is made up of vertices or nodes and lines called edges that connect them.” It’s the ability to make the connections between billions of nodes and lines that forms the basis for making recommendations. ...
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Study: High-Skilled Immigrants Are Neither Better Nor Brighter Than U.S. Workers
While America’s political and business elite are pressing Congress to ease high-skilled immigration laws, a new study argues that foreign workers aren’t necessarily better or brighter. “The immigrant workers, especially those who first came to the United States as foreign students, are in general of no higher talent than the Americans, as measured by salary, patent filings, dissertation awards, and quality of academic program,” writes University Of California-Davis professor, Norman Matloff. While technology leaders, such as Bill Gates, often complain that they must bait the best foreign workers with luxurious salaries, Matloff says that data doesn’t back this up. To illustrate just how little big tech companies actually value foreign workers, he presents a graph of the share of percentage of foreign workers that make substantially more than their native colleagues. At Google, for instance, only 12% of foreign workers are making 1.45 times the average worker in their field. Matloff, ...
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Hidden Within New Govt. Facial Recognition Guidelines, The Dreaded ‘Opt-In’ Rule
The [US government? Federal government?] government has released new guidelines on facial recognition technologies and discretely tucked in a Trojan horse that is destined to have fierce opposition: a rule that advertisers and social networks must get permission before repurposing facial data for future use. Facebook has long argued that “opt-in” rules would stifle innovation in a culture with unpredictable tolerance for new uses of personal data, such as the newsfeed, which users initially opposed and has since become a staple of social networking. The Federal Trade Commission worries that Facial data can be automatically be collected in en masse and repurposed for intrusive advertising, when technologies such as interactive billboards become more common. Indeed, third-party developers are already starting to engineer creative Face-sensitive products, such as Facedeals, a camera that automatically “checks-in” users as they walk into a restaurant. In recognition of the growing use ...
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