Category: machine learning

Grounding iterative experimentation with LC Labs: CCHC and Machine Learning

Across the last five years, LC Labs experiments have integrated sundry perspectives and disciplines to connect people, practice, and history; from making collections more legible and discoverable through volunteer crowdsourcing efforts with Beyond Words and By the People, to developing frameworks for ethically engaging people when adopting machine learning with Humans in the Loop, to …

Can AI be used ethically to assist peer review?

As the rate and volume of academic publications has risen, so too has the pressure on journal editors to quickly find reviewers to assess the quality of academic work. In this context the potential of Artificial Intelligence (AI) to boost productivity …

Newspaper Navigator Surfaces Treasure Trove of Historic Images – Get a Sneak Peek at Upcoming Data Jam!

Projects like Newspaper Navigator are busy unlocking even more digital content for members of the public to access from home. On May 7th at 2pm EST, Innovator in Residence Ben Lee will host a virtual data jam to experiment and play with thousands of images—including maps, advertisements, comics, and more!—from historical newspapers dating to the 1800s. In this post, Ben discusses his aspirations for engaging the American public with the millions of images he extracted from  Chronicling America.

Control Issues: A Report of SXSW ’18

We went to the SXSW Conference this year to reach an audience of tech developers with our session Hacking the Library of Congress. As you may expect from an emerging technology conference, sessions on virtual reality (VR) (48 sessions) and blockchain (29 sessions) dominated the week.  At the Virtual Cinema, attendees demoed a variety of VR […]

Artificial intelligence can expedite scientific communication and eradicate bias from the publishing process

Scientific publishing already uses some early artificial intelligence (AI) technologies to address certain issues with the peer review process, such as identifying new reviewers or fighting plagiarism. As part of a BioMed Central/Digital Science report on the future of peer review, Chadwick C. DeVoss outlines what other innovations AI might facilitate. Software with the capability to complete subject-oriented reviews of […]