The AI world moves fast, and scholarly and scientific content is too important to be left behind. We’ve created the AI Lab as a flexible space where we can bring prototypes to our clients quickly, testing their effectiveness and ensuring they are helping publishers achieve their goals, from improving user experience to protecting the value of content in an evolving knowledge ecosystem.
AI Playground
The AI Playground is a space for Silverchair clients to easily experiment with a variety of AI models, applications, and use cases, to help deepen their understanding of various models and refine their AI priorities. This free, user-friendly tool allows publishers to discover, stress-test, analyze, and refine their AI strategy and offerings.
Silverchair developed the AI Playground to help publishers explore the tradeoffs of different parameters for RAG (retrieval augmented generation) models and evaluate the effectiveness of different models. Within the tool, publishers may adjust the model, retrieval strategies, response facets, and much more. The tool features built-in up-voting and down-voting on responses to gather live feedback, which is used to tune the tool and inform the ongoing development of AI offerings on the Silverchair Platform.
AI-Generated Summaries
Making research findings more accessible
AI-Generated Summaries offer simplified—and automated—plain-language explanations of articles, making them more easily understood by media, funding agencies, and other non-experts. Without asking anything else of your authors, you can offer readers in new audiences a critical tool to bridge the gap between accessibility and understandability.
SilverChat
Helping publishers get the most out of the Silverchair Platform
SilverChat acts as a client’s personal platform expert, answering questions about tools, content specifications, and more on the spot. We pride ourselves on offering the most thorough and innovative customer support possible. With SilverChat, we take it to the next level. (See the tool in action here.)
Dynamic Discovery
Creating new ways for users to interact with content
Using RAG (retrieval-augmented generation) frameworks, we can offer generative chat functionality that pulls specifically from high-value publisher content to answer questions and link to cited content. It represents a fundamental shift in how people find answers to questions, with a dynamic user experience for researchers that still preserves the value of the version of record.
Related Resources
AI A to Z: A Primer on AI in Publishing
As part of our AI Lab Reports webinar series, we’ve produced an AI primer to help build a shared foundation on AI terms and themes.
AI Lab Reports
This virtual series focused on the experiments, applications, and best practices around AI in scholarly and professional publishing, focusing on actionable takeaways for organizations.
Send us your AI Wish List
What do you hope to see from AI in scholarly publishing? Send suggestions and ideas for future projects to explore with us.