Carnegie Mellon University: Leading AI Scholars Featured in New Oral Archive

Carnegie Mellon University: Leading AI Scholars Featured in New Oral Archive. “[Illah] Nourbakhsh and [Jennifer] Keating have captured the thoughts of some leading AI scholars in a new oral archive that became available online this year. It includes video and transcripts from 22 people, including MIT’s Daniela Rus, Harvard University’s Barbara Grosz and Microsoft’s Eric Horvitz, as well as a number of CMU faculty members such as Martial Hebert, David Danks, Mark Kamlet, Tuomas Sandholm and Jim Herbsleb.”

The Catholic Church’s new tool for ending hunger: machine learning (Aleteia)

Aleteia: The Catholic Church’s new tool for ending hunger: machine learning. “Drought, major storms, crop disease, other climate-related events, and illness are ‘shocks’ that threaten food security, says Catholic Relief Services, the American Catholic Church’s overseas aid agency. Now, CRS says it has a tool that it says can help aid agencies better respond to such shocks so that ordinary people don’t go hungry. That tool is called MIRA, or Measurement Indicators for Resilience Analysis.”

Mashable: The greatest gift machine learning ever gave us is this archive of Mark Zuckerberg haircuts

Mashable: The greatest gift machine learning ever gave us is this archive of Mark Zuckerberg haircuts. “Created by Sam Lavigne, an artist whose work focuses on automation and surveillance (among other things), the archive consists of 387 machine-learning generated images of Mark Zuckerberg’s hair. To isolate just the CEO’s mop, Lavigne used an ‘open source hair detector’ available on GitHub.” And now my cat wants to know what’s so funny…

Machine Non-Learning: The Chinese Words That Trip Up Google Translate (The Bejinger)

The Bejinger: Machine Non-Learning: The Chinese Words That Trip Up Google Translate. “Humankind now speaks more than 5,000 languages, which as anyone who has traveled or lived in a foreign country can attest to, makes life more interesting, if not at times several times more complicated. It is fairly common then for us to turn to translation tools for help, and Google Translate is probably one of the most trusted popular among them (despite the hurdles of the GFW). Yet when translating a language like Chinese – one that is radically different from the Latin language family – digital translators may not be savvy enough to provide a nuanced, reliable definition after all.”

UCLA Anderson Review: Machine Learning Can Help Reduce Postsurgical Hospital Readmissions

UCLA Anderson Review: Machine Learning Can Help Reduce Postsurgical Hospital Readmissions. “In a study published in the medical journal Anesthesiology, UCLA Anderson’s Velibor V. Mišić and Kumar Rajaram, Ronald Reagan UCLA Medical Center’s Eilon Gabel and Ira Hofer, and University of Pittsburgh’s Aman Mahajan report devising three ‘machine learning’ models that scored significantly higher than standard statistical programs in predicting which surgical patients were at greatest risk of readmission.”

BusinessWire: MyHeritage Releases Groundbreaking Feature to Automatically Colorize Black and White Photos (PRESS RELEASE)

BusinessWire: MyHeritage Releases Groundbreaking Feature to Automatically Colorize Black and White Photos (PRESS RELEASE). “MyHeritage, the leading global service for discovering your past and empowering your future, announced today the release of MyHeritage In Color™, an innovative feature that automatically colorizes black and white photos and produces incredible results. Photos are colorized using sophisticated deep learning technology that is currently exclusive to MyHeritage.”

PR Newswire: Bloomberg Law Introduces Brief Analyzer, New AI Tool For Review And Analysis Of Legal Briefs (PRESS RELEASE)

PR Newswire: Bloomberg Law Introduces Brief Analyzer, New AI Tool For Review And Analysis Of Legal Briefs (PRESS RELEASE). “Brief Analyzer enables Bloomberg Law subscribers to quickly and securely upload a legal brief for analysis. Leveraging machine learning techniques, Brief Analyzer reviews the text of the uploaded document to identify authorities cited in the brief and additionally suggests other content for review, including relevant cases not cited in the brief, similar briefs from other dockets, and Practical Guidance.”