by Mary Beth Holm AI is already a major part of everyday life, whether people are aware of it or not. Credit, healthcare, career opportunities, and even personal freedom may be impacted by AI. It is important that people understand AI and that there are equitable opportunities to work with AI and machine learning. This…

by Erik Radio Iterative processes constitute a significant part of any machine learning (ML) project. For my project I found they were necessary even before arriving at any coding. Specifically, just the concept and telos of ML changed the ways in which I thought about a particular problem. ML let me hone in on larger…

by Valerie Lookingbill With the exponential rise in online publishing, there is an increasing need for comprehensive overviews of research, including systematic reviews, a methodology for conducting reviews of literature that prescribes explicit, reproducible, and transparent processes for collating the best available evidence on a particular topic. While this rise in publications presents opportunities for…

by Kineret Ben Knaan In recent years, we have seen an increase in the adoption of artificial intelligence (AI) applications in public and academic libraries. While libraries are still less proactive than the private sector in embracing AI and machine learning (ML), they are slowly beginning to discover ways AI solutions can serve their mission…

by Michael Shensky A comprehensive and well conducted literature review is the foundation on which new research is built, yet carrying out a successful review of published academic work on a particular topic can be challenging. Given the importance of the task and the significant work involved in completing it correctly, it is worth asking…

by Kimberly S. Grotewold Libraries have historically been places, either physical or digital, where people go to seek knowledge, learn skills, and thoughtfully engage with others’ ideas- where people go to grow their “human intelligence.” The vast accumulation of information about people’s lives and behaviors has become the foundation for building a different kind of understanding…

by Sharon Whitfield In recent years, AI has been used to determine whether images have cancers that are not seen or not considered problematic by trained physicians (Liu, 2018; Svoboda, 2022). A recent study by Lebig, Brehmer, Bunk, Byng, Pinker & Umutlu (2022) reported that AI was able to screen for cancer with a 2.26…

by Raymond Wang The IDEA Institute has broadened my knowledge of artificial intelligence and deepened my understanding of machine learning in the academic library settings. In addition to the two months onboarding preparation when we learned programming language using Phyton, the weeklong intensive institute has force me to look at data curation from brand-new perspectives.…

by Mary Aycock Did you know that AI advances have outpaced even Moore’s law, the principle that the speed and capability of computers can double every few years? (https://spectrum.ieee.org/ai-training-mlperf) Trying to keep track of all the advances practically requires an AI assistant! The stakes for machine learning seem particularly high, not only in the tremendous…