Scientific figures can take hours to prepare, yet AI tools can produce polished-looking images in seconds. Read this post to learn when AI can help, where it may threaten research integrity, and how publisher policies distinguish concept diagrams, data visualisations, and experimental evidence.

A safer way to discover, evaluate, and use scholarly evidence in your AI workflow.

Memory, context, and the settings that control them.

Explore our new interactive app to compare 40+ GenAI research tools and discover how they can enhance your literature discovery and analysis.

The fast development and release of automated tools is transforming how we conduct research. Many of these tools (technologies) appear to be very powerful: allowing us to do our work much faster, and maybe more efficiently. But they create a question: as we integrate these tools into our scholarly work, how do we ensure that we are not just doing things faster, but also doing them right?

Late last week, arXiv updated its policy on posting review articles and position papers in the Computer Science category. Previously, such papers were accepted at the discretion of moderators.

Ithaka S R has launched a Generative AI Licensing Agreement Tracker to document deals between academic publishers and AI developers.

The Library now provides a trial on Scopus AI, a built-in function within the Scopus platform that accepts queries in natural language and provides concise AI-generated summaries. Try it out. Your feedback is needed!

Generative AI can revolutionize scholarly communication by breaking down technical, language, disciplinary, and practical barriers.

We are thrilled to announce our Researchers’ Series Special Topics 2023 in November. This symposium brings together three experts to explore the transformative power of AI in research discovery and scholarly communication.