Posts Tagged ‘Carnegie Mellon’

Yahoo! and Carnegie Mellon Partner of $10M Machine Learning Initiative


Deborah Todd of the Pittsburgh Post-Gazette reports, “An initiative to use Yahoo’s data and Carnegie Mellon University’s brain trust to build the smartphone apps of the future has launched with a multimillion-dollar jump start. Project InMind — a five-year, $10 million partnership between CMU and multinational Internet corporation Yahoo Inc. — gives university researchers access to a “mobile toolkit” of Yahoo’s real-time data services and its infrastructure in order to advance machine learning and personalization of smartphone apps. Once new experimental mobile products are created, students and faculty on campus will be able to opt in as alpha testers. The goal is to create customized services able to anticipate users’ needs and interests on an ongoing basis, whether a user is at home playing video games or navigating the streets of a foreign country.” Read more

Helping Students, And Companies, Tackle Jobs And Talent Challenges

rsz_pyimageIt’s not only in June that we’ll see a new crop of graduates emerging from university and post-grad programs. Many students also don cap-and-gown for December ceremonies – a prelude to wearing regular or casual business attire, they hope.

Of course, matching up with the right job is always a challenging prospect. That’s true on many fronts – the slow economy, for one, but also just figuring out what the ideal career fit will be. Pymetrics is hoping to help solve that problem, with its recent announcement of a career assessment and recruiting platform that draws on neuroscience games-based assessment – a nice touch for the crowd that largely grew up with Playstations, Gameboys, iPods, Xboxes and the rest of the digital gaming gang – and machine learning.

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IBM Teams with Top Universities to Research Cognitive Systems


R&D Magazine reports that “IBM has announced a collaborative research initiative with four leading universities to advance the development and deployment of cognitive computing systems—systems like IBM Watson that can learn, reason and help human experts make complex decisions involving extraordinary volumes of fast-moving data. Faculty at the four schools—Carnegie Mellon University, the Massachusetts Institute of Technology, New York University and Rensselaer Polytechnic Institute—will study enabling technologies and methods for building a new class of systems that better enable people to interact with Big Data in what IBM has identified as a new era of computing.” Read more

Carnegie Mellon Researchers Release Details of Automatic Video Surveillance Tech

Declan McCullagh of CNET reports, “Computer software programmed to detect and report illicit behavior could eventually replace the fallible humans who monitor surveillance cameras. The U.S. government has funded the development of so-called automatic video surveillance technology by a pair of Carnegie Mellon University researchers who disclosed details about their work this week — including that it has an ultimate goal of predicting what people will do in the future. ‘The main applications are in video surveillance, both civil and military,’ Alessandro Oltramari, a postdoctoral researcher at Carnegie Mellon who has a Ph.D. from Italy’s University of Trento, told CNET yesterday.” Read more

Where Was that Picture Taken? Carnegie Mellon Can Tell You

John Biggs of TechCrunch recently discussed an intriguing program at Carnegie Mellon that uses a complex algorithm and Google Street View to identify cities based on their unique traits. The project description states, “Given a large repository of geotagged imagery, we seek to automatically find visual elements, e.g. windows, balconies, and street signs, that are most distinctive for a certain geo-spatial area, for example the city of Paris. This is a tremendously difficult task as the visual features distinguishing architectural elements of different places can be very subtle.” Read more

Resunate Acquired By Professional Diversity Network For Its Semantic Career Smarts

Careerimp and its semantic technology for building and improving resumes to match a job’s requirements has itself secured a new gig – it’s been acquired by Chicago-based Professional Diversity Network, a provider of professional networking and job boards solutions.

Resunate, which The Semantic Web Blog first covered here, has had as its target market university career centers, with a client list that includes among others Carnegie Mellon (where the technology has its roots) and the University of Pittsburgh (whose Library System recently signed on as a customer for Plum Analytics’ RDF-modeled Researcher Graph). CareerImp has been updating the Semantic Intelligence technology behind the solution – which  analyses the sentences in a resume and job description based on the way words are clustered and their context, and weights things to statistically determine how relevant a resume is to a job or vice versa – every couple of weeks since its debut in Spring 2011 with a focus on providing content suggestions.

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ThingWorx Partners with Pennsylvania Smart Infrastructure Incubator

A recent article announces, “ThingWorx™, the provider of the first application platform for the connected world, announced its partnership today with Carnegie Mellon’s Pennsylvania Smart Infrastructure Incubator (PSII). The ThingWorx platform will be used to gather and manage real-time information communicated by sensors and other connected devices tied to physical infrastructure. ThingWorx joins IBM and a host of innovative companies that are providing a range of technologies and tools to regional universities and institutions in an effort to blend traditional physical-infrastructure, such as transportation systems and buildings, with cyber-infrastructure- computers, networks, and sensors.” Read more

Will Your Résumé Resonate With Resunate?

At the Semantic Web Blog we’ve regularly covered the increasingly promising world of jobs in our sector (see here). But Semantic Web technologies are being put to work to help job-seekers in every industry, whether or not they can tell the difference between RDF and RFP, or OWL and OTB.

One of the recent efforts hails from start-up Careerimp, which lately unveiled its semantically intelligent resume builder Resunate that has roots in research begun at Carnegie Mellon. The idea is to make it easier for people who’ve identified a position they want to best present themselves to the applicant tracking systems that are the first hurdle to overcome in order to get a live person’s attention.

Right now, it can take hours or even days to tinker a resume to those ends, while the old-school approach of building one solid resume that can suit any job hunt is quickly going by the wayside. We’re a society of specialists, and that means your resume has to help specialize you for each particular job, too.

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