Lia Steakley of the Scope Blog recently wrote, “A web-based tool created by researchers at Stanford enables physicians and researchers to better interpret the wealth of data contained in medical images by capturing information in a way that is explicit and computationally accessible. The tool, called electronic Physician Annotation Device (ePAD), was developed by the Rubin Lab at the School of Medicine and is available to download for free. Daniel Rubin, MD, an assistant professor of radiology, and his team initially designed ePAD in response to an unmet need in cancer imaging, but he says the tool can be used more generally quantitatively evaluate images and characterize disease.” Read more
Posts Tagged ‘Stanford’
Stanford University Libraries is looking for a Linked Data Technologist, Metadata Department in Palo Alto, CA. According to the post, “The Stanford University Libraries (SUL) has an opening for a Linked Data Technologist within the Metadata Department in Technical Services. Linked Data will be key to Stanford’s evolving intellectual ecosystem. Location within the Metadata Department, the Linked Data Technologist will be responsible for the transformation of metadata from multiple metadata schemas into approved RDF models for ingestion into appropriate data stores. Flexibility and the ability to follow and anticipate developing technologies will be essential.” Read more
Stanford University Libraries is looking for a Linked Data Programmer / Analyst in Palo Alto, CA. According to the post, “The Linked Data Programmer / Analyst for Digital Library Systems & Services (DLSS) plays an integral role in defining, developing and delivering information systems and infrastructure for the library of the future at Stanford University. As part of DLSS within Stanford University Libraries (SUL), the holder of this position helps SUL’s efforts to support scholarship in the digital age by delivering on the promises of the digital library.” Read more
News came the other week that Senzari had announced the MusicGraph knowledge engine for music. The Semantic Web Blog had a chance to learn a little bit more about it what’s underway thanks to a chat with Senzari’s COO Demian Bellumio.
MusicGraph used to go by the geekier name of Adaptable Music Parallel Processing Platform, or AMP3 for short, for helping users control their Internet radio. “We wanted to put more knowledge into our graph. The idea was we have really cool and interesting data that is ontologically connected in ways never done before,” says Bellumio. “We wanted to put it out in the world and let the world leverage it, and MusicGraph is a production of that vision.”
Since its announcement earlier this month about launching the consumer version on the Firefox OS platform that lets users make complex queries about music and learn and then listen to results, Senzari has submitted its technology to be offered for the iOS, Android, and Windows Mobile platforms. “You can ask anything you can think of in the music realm. We connect about 1 billion different points to respond to these queries,” he says. Its data covers more than twenty million songs, connected to millions of individual albums and artists across all genres, with extracted information on everything from keys to concept extractions derived from lyrics.
Stanford University is looking for a System Software Developer in Palo Alto, CA. According to the post, “Stanford University Libraries (SUL) is seeking a talented software engineer to support the discovery and delivery of digital library content. This is a four-year term position with the possibility for renewal. The Discovery Engineer will primarily develop digital library software to enable management, indexing, and online discovery of digital library materials. This position is part of the Application Development team in the Digital Library Systems and Services (DLSS) unit of SUL. Read more
Daniela Hernandez of Wired reports, “There’s a theory that human intelligence stems from a single algorithm. The idea arises from experiments suggesting that the portion of your brain dedicated to processing sound from your ears could also handle sight for your eyes. This is possible only while your brain is in the earliest stages of development, but it implies that the brain is — at its core — a general-purpose machine that can be tuned to specific tasks. About seven years ago, Stanford computer science professor Andrew Ng stumbled across this theory, and it changed the course of his career, reigniting a passion for artificial intelligence, or AI. ‘For the first time in my life,’ Ng says, ‘it made me feel like it might be possible to make some progress on a small part of the AI dream within our lifetime’.” Read more
Cynthia Haven of Stanford News reports, “The first winners of the Stanford Prize for Innovation in Research Libraries are the Bibliothèque nationale de France (National Library of France) and the Miguel de Cervantes Digital Library in Spain. The Stanford Libraries’ new annual award celebrates groundbreaking programs, projects and services for research libraries anywhere in the world. Commendations of merit went to Australia’s Griffith University and the New York Public Library. About two dozen proposals competed for the modest cash prize of $5,000, underwritten by Logitech, that went to each of the winning institutions.” Read more
Kyle Gschwend of The Stanford Daily recently reported, “After 18 months of planning, the Dean of the School of Humanities & Sciences, Richard Saller, recently gave final approval for a new center that will fill the need for a unified genomics research center on campus. Led by genetics professor Carlos Bustamante and biology professor Marc Feldman Ph.D. ’69, the new Stanford Center for Computational, Evolutionary and Human Genomics is predicted to improve the University’s reputation in the field, as well as draw top talent to Stanford. While the official University announcement has not yet been made, outgoing School of Medicine Dean Philip Pizzo shared news about the center in his last full newsletter, which was published on Nov. 5. ‘There was a recognition among the administration of how significant and vital it was to support this project and take a risk,’ Saller said.” Read more
Stanford is offering another free online course: this time, the subject is Natural Language Processing taught by Chris Manning and Dan Jurafsky. According to the description, “The course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering, We will also introduce the underlying theory from probability, statistics, and machine learning that are crucial for the field, and cover fundamental algorithms like n-gram language modeling, naive bayes and maxent classifiers, sequence models like Hidden Markov Models, probabilistic dependency and constituent parsing, and vector-space models of meaning.” Read more
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