Stanford: Digital archive of antique wax figures becomes a teaching tool. “Huddled over a virtual dissection table, Stanford medical students zoomed in on glistening muscles and nerves in the neck by swiping their fingers across the giant touchscreen designed to visualize an entire body in three dimensions. What they were looking at, however, were not virtual renderings of human anatomy, or even images of the real thing; rather, they were examining high-resolution photographs of wax models made between the mid-17th and mid-19th centuries.” Warning: these wax models could be deeply disturbing.
Stanford: Archives launches women, LGBTQ and communities of color initiative. “The Stanford University Archives is proud to announce an ongoing initiative to acquire, process and digitize materials documenting Stanford women, the LGBTQ community, and communities of color.”
Stanford’s AV Artifact Atlas has been moved to GitHub. From the home page (now on GitHub, natch): “Welcome to AV Artifact Atlas, a resource for identifying errors and anomalies in analog and digital video. AVAA is built for and by a community of professionals in the field of audiovisual archiving but useful for anyone working with av material. “
For those of you into the preservation of audio media, check out this blog post from Stanford: An interdisciplinary solution to sound recording preservation. “Earlier this year the Stanford Media Preservation Lab and Conservation Lab were tasked with figuring out how to playback severely warped paper based disc sound recordings. The recordings in question are from a three disc set titled Man-Talk by Three Great Western Stars and each one-sided disc in the set features a single monologue by John Wayne, Bill Elliott, or Johnny Mack Brown.”
Stanford Engineering: How will driverless cars and other applications of AI affect society? “A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city – in areas as diverse as transportation, health care and education – and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies.” The report is available as a free, 52-page PDF.
Stanford University is conducting a study to see if Google Glass can help autistic children read emotions. “Like many autistic children, Julian Brown has trouble reading emotions in people’s faces, one of the biggest challenges for people with the neurological disorder. Now the 10-year-old San Jose boy is getting help from ‘autism glass’ — an experimental device that records and analyzes faces in real time and alerts him to the emotions they’re expressing.” I hope the research eventually includes other wearables besides Google Glass.
Computer scientists at Stanford have designed a tool to help create Wikipedia articles in a wider variety of languages. “…computer scientists at Stanford and the Wikimedia Foundation have created a recommendation tool that identifies the most important articles not yet available in a given language. Editors can use these recommendations and, if they are multilingual, find an article in a second language familiar to them and get other help in order to translate the article for local Wikipedia readers.”
Stanford University has created a digital archive of Richard Diebenkorn’s sketchbooks. “The Cantor Arts Center recently launched a new website that gives access to the museum’s collection of 29 sketchbooks by Richard Diebenkorn (1922–1993), a renowned artist celebrated as both a central figure in the Bay Area figurative movement and a key figure in the nationwide development of abstract expressionism and color-field painting.”
Stanford University’s Cantor Arts Center has digitized its collection. “Students, faculty, scholars and the general public can now visit the museum’s website, type in a title, artist, theme or other search criteria, and see high-quality digital images of the majority of the 45,000-plus objects in the collection. Partial inventories of the museum’s collection have been made since it opened in 1894, but this was the first complete inventory since 1916.”
Stanford: Will Facebook Replace Traditional Research Methods? “The breadth of Facebook data allows for discovering patterns that would be impossible to detect using traditional approaches. By analyzing Facebook Likes of millions of users, for example, we can reveal subtle patterns that would be difficult to identify using traditional surveys. For example, if someone likes The Matrix, a human analyst would have trouble translating it into a prediction of the given person’s character, but a computer model can put it into the context of millions of other users and would conclude, in this case, that the individual is likely to be intelligent and introverted.”