ProRodeo Sports News, Boston Baroque, Spotify Audiobooks, More: Friday Afternoon ResearchBuzz, January 29, 2021


Spotted on Reddit and one of the more random things I’ve found lately: an emerging archive of ProRodeo Sports News, which is apparently a publication of the Professional Rodeo Cowboy’s Association. Issues are still being uploaded, and the archive is held at a site with issues organized into folders by year. Each issue is a single PDF file, looks like.

Broadway World Boston: Boston Baroque Publishes Free Resource Library. “Boston Baroque has introduced its Resource Library, a digital archive of performance sources, including program notes written by Boston Baroque Founder and Music Director Martin Pearlman, orchestration charts, and more, for free on its website. With more than 30 composers and 235 musical works, the digital resource is a significant contribution to the early music field.”


Tech Xplore: Spotify tests audiobooks of classics including ‘Persuasion,’ ‘Frankenstein’. “Streaming giant Spotify is extending its foray into audiobooks, dropping nine new public-domain classics narrated by celebrities including Hilary Swank and Forest Whitaker. The platform known best for its music has used podcasts to drive growth since 2019, and recently began bolstering its audiobook selection.”

Flickr Blog, and let me post this in January so it’s not too horribly out of date: Meet the winners of Your Best Shot 2020!. “This year, 18,000 Flickr members took the effort to join and submit an entry to our Your Best Shot 2020 group, making the contest a huge success. Thank you to everyone who engaged in the group in one way or another.”


Washington Post: Is that app spying on you? Here’s how to read iPhone privacy labels.. “While they’re a step forward, Apple’s labels are neither complete nor particularly simple. When I conducted a spot check, I found that some of the self-reported labels weren’t necessarily even always telling the truth. But if you take the time to read the labels, you might make some surprising discoveries.”


Brown University: Announcement | Four New Projects Selected for Brown’s Digital Publications Initiative. “The University Library and the Dean of the Faculty, together with the Digital Publications Advisory Board, are pleased to announce the selection of the next four long-form scholarly works to be developed as part of Brown’s Digital Publications Initiative.”


The Verge: Senate to hold hearing on the stock market after Reddit GameStop squeeze. “Sen. Sherrod Brown (D-OH), the incoming chair of the Senate Banking Committee, announced Thursday that he plans to hold a hearing on the ‘current state of the stock market’ in the wake of unprecedented volatility around GameStop, AMC, and other stocks.”

Arizona State University: What the future of online content moderation might look like. “Future Tense, a partnership between New America, Slate and Arizona State University, recently brought together experts and professionals in the technology and public policy space to discuss the future of online content moderation and what it might look like in the coming years. During a conversation with Jennifer Daskal, New America ASU Future Security Fellow and professor and faculty director of the Tech, Law and Security Program at American University, technology policy leaders and professionals offered suggestions on what they think the Biden administration can do to promote effective online content moderation while remaining ethical and promoting growth and vigorous, free discourse on the internet.”


Search Engine Journal: YATI & ERNIE: Machine Learning in Yandex and Baidu. “Over a similar time frame to Google, Yandex has released similar projects into their ranking processes such as MatrixNet, Palekh, its second (more refined) iteration of Korolyov, and most recently, YATI. Baidu has also been involved in developing machine learning technologies for search, with their more prominent ML model being ERNIE.”

TechCrunch: MIT researchers develop a new ‘liquid’ neural network that’s better at adapting to new info . “A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change quickly – like autonomous driving, controlling robots, or diagnosing medical conditions.” Good afternoon, Internet…

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