Making Scholarly Research Accessible with Generative AI
Generative AI can revolutionize scholarly communication by breaking down technical, language, disciplinary, and practical barriers.
Generative AI can revolutionize scholarly communication by breaking down technical, language, disciplinary, and practical barriers.
Happy February! 12-16 February 2024 marks the annual international event of Love Data Week.
Welcome back to the new semester! In this post, we are happy to share the changes we have made to our library’s support for Open Access transformative publishing.
In a collaborative effort to promote the linkability and citability of research data, STM, DataCite, and Crossref have released a joint statement on research data.
Recently, Mr. Aaron Tay, a librarian from Singapore Management University gave us a guest talk on RAG-based LLM applications for academic literature search. This post summarizes the key insights in the presentation.
String comparison is a key step in data pre-processing, but functions in Excel such as MATCH and VLOOKUP falter in fuzzy string matching. In this post, let’s explore how the Python library "FuzzyWuzzy" overcomes these limitations.
In this week's post, we present a roundup of a diverse range of topics and events from the International Open Access Week held in October 2023.
Crossref's recent acquisition of the Retraction Watch data will enhance the quality, transparency, and completeness of metadata on retractions in academic publications. In this post, we present some of our preliminary analysis.
In 2018, a pressing issue emerged at the campus canteen: food waste. With trays piling up with uneaten food, the question loomed: "With all the technology available to us, can we curb food waste on campus?"
How can researchers read and skim papers more effectively? This question prompted the team at Semantic Scholar to develop an AI-powered application called Semantic Reader. In this post, let's see how it works.