Stanford Libraries will host the 2nd International Conference on AI for Libraries, Archives, and Museums over three days, December 4, 5 & 6, 2019. The first 'Fantastic Futures' conference, which took place in December 2018 at the National Library of Norway in Oslo, initiated a community-focused approach to addressing the challenges and possibilities for libraries, archives, and museums in the era of artificial intelligence.
We are excited to welcome Quentin Verwaerde of the French national library school, ENSSIB, to Stanford Libraries for term-long internship. He’ll mainly be working with Nicole Coleman and Sarah Sussman, but is looking forward to meeting folks around the library. To introduce him to SUL, we’ve asked him to tell us a bit about himself -
Monday, March 4, 2019 from 4:00 pm - 5:30 in the Bender Room at Green Library, Peggy Phelan and Maneesh Agrawala will join the library's digital research architect, Nicole Coleman to discuss the
Andy Warhol Photography Archive, Contact Sheets: 1976 - 1987 and how technology is changing our relationship with media.
On Tuesday, February 5, in the Bender Room at Green Library, Jessica Riskin and Oussama Khatib will join Nicole Coleman in conversation about robotics past and future. Both have been thinking deeply about artificial life and artificial intelligence throughout their careers. While Khatib has been building robots and breaking new ground in human-robot collaboration, Riskin’s work explores the way that early automatons influenced the mechanistic view of mind and body, evolution and inheritance, and how our relationship to machines continues to influence our thinking today about whether human beings have agency in shaping their destiny.
A report of outcomes from a one-day workshop with international library, archives, and museum representatives at the Fantastic Futures conference in Oslo, December 2018.
The ePADD development team is thrilled to announce the release of ePADD 7.0 beta 1.
ePADD is free and open source software developed by Stanford Libraries' Special Collections & University Archives that uses natural language processing and machine learning to support archival appraisal, processing, discovery, and delivery for email of potential historical or cultural value.
Now is the time for a revolution in discovery.