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AI Studio Experiments


Date and Time 
January 23, 2019
11:00am to 12:00pm
East Asia Library, Room 224

Free and open to the public. Please register if you would like to attend.

General Public
Event Sponsor 
Stanford University Libraries

The third in a series of AI Discovery Sessions for Information, Intelligent Machines, and New Knowledge, featuring AI Studio Experiments.

Using Topic Modeling to Describe 19th Century Novels
Rebecca Wingfield, Arcadia Falcone, Javier de la Rosa, Scott Bailey
In 2011, Stanford acquired a collection of single-volume 19th century novels. Since these novels are not widely held in major research libraries, there is only minimal descriptive information about them. This project explores topic modeling to enhance subject access to the collection.

Automating Audio Transcription
Josh Schneider, DeBauche and Sarav Shah
This team has been using Google's Cloud Speech-to-Text tool to automate the transcription of audio recordings from the Library's Special Collections and University Archives including the Allen Ginsberg papers and KZSU Project South interviews. They will share their experience and results.

Lowering the bar to making CloudVision data usable by leveraging IIIF
Jessie Keck, Jack Reed, and Chris Beer
IIIF makes accessing images as easy as constructing a URL. Google CloudVision makes running images through AI based image analysis relatively easy as well. Our project aims to leverage the data returned from CloudVision in a way that will allow IIIF based viewers to be able to consume the image analysis data using existing open standards.

Image Recognition for Archaeological Research
Claudia Engel and Justine Issavi
After 25 years of research, the Çatalhöyük Archaeological Project has accumulated about 150,000 images. The metadata are incomplete or inconsistent and researchers are often interested in information that is not captured at all. Using AI helps image tagging and archaeological object recognition.

Similar Image Search: How Machine Learning Can Assist with Metadata Creation
Hilary Thorsen
Machine learning has allowed significant advances to be made with visual search giving metadata librarians new possibilities for automating and improving metadata creation workflows.


View information about future AI Discovery Sessions.

Zoom teleconferencing will be available. Details will be provided to registrants prior to the event.