New Individual titles:
One of Ten Billion Earths: How we Learn about our Planet's Past and Future from Distant Exoplanets by 
Measurements, Mechanisms, and Models of Heat Transport by 
Geology of Grand Canyon, Northern Arizona (with Colorado River Guides) by 
Failure Analysis of the Arecibo Observatory 305-Meter Telescope Collapse by 
Sample Return Missions: The Last Frontier of Solar System Exploration by 
Ancient Supercontinents and the Paleogeography of Earth by 
The Virtue of Fieldwork in Volcanology, Sedimentology, Structural Geology, and Tectonics—Celebrating the Career of Cathy Busby by 
The Caltech Library has subscribed to a new research tool called Keenious. Keenious makes recommendations for further reading based either on an existing text or PDF documents using a variety of techniques, including a language model to incorporate semantics of the texts and topics. Keenious is a very different type of search tool than you might be used to. With Keenious, you use your current document as an input into the search, compared to using just keywords as done in traditional search engines. Access the Keenious Help Center.
(Sign in with your Caltech email address if off-campus, which will authenticate via Access credentials).
This article provides a brief overview of how Keenious works.
This article describes some of the main features of the tool.
The video on this page provides a very useful orientation in about 7 minutes.
Here are some libguides:
This article, in the Journal of eScience Librarianship, discusses the implementation of Keenious at Carnegie Mellon University, including "the nature of AI-based tools when compared with traditional library resources, including ethical questions surrounding data privacy, algorithmic transparency, and the impact on the research process."
Keenious offers introductory webinars for users with no experience.
