… The use of artificial intelligence (AI) and machine learning (ML) is becoming increasingly
prevalent in a variety of industries, including libraries and information centres. AI and ML …

… Searching for contents in present digital libraries is still very primitive; most websites provide
… reading the article, using present machine learning and artificial intelligence techniques. …

… They are both machine learning libraries written in Java. The biggest difference between
these libraries and our library is the architecture. The interfaces for machine learning tasks are …

… in the last two years itself and the inclusion of machine learning library known as Mahout
into Hadoop ecosystem has enabled to encounter the challenges of Big Data, especially …

… datasets, libraries, and better computing infrastructure, has fueled data–driven methods as
the fourth paradigm. Figure 1 shows the number of publications with “machine learning” in the …

… on the topic of artificial intelligence (AI) technologies in the context of research libraries. The
… reveals an abundance of roles conceived for libraries or librarians, their users, and AI (the …

… Other work on understanding ML-based development focused on identifying design
patterns for machine learning systems [55] or what developers ask about ML libraries on Stack …

… After our initial results, similar machine learning approaches have rapidly emerged that …
-discovery scientists with minimal or no experience in machine learning and programming. …

… ) that can help guide responsible engagement with machine learning and artificial
intelligence. Assess to what degree modifications need to be made particular to library contexts.…

… , independent artificial intelligence yet. Most products that tout “AI” are using machine learning,
which is a … I’ll be using the terms machine learning and artificial intelligence somewhat …