Empower R&D Digitally

Ensuring accuracy and traceability is essential in regulatory affairs, where mistakes can have serious consequences. This article introduces symbolic AI and ontologies as a structured, explainable alternative to generative models such as ChatGPT.

Making data Findable, Accessible, Interoperable, and Reusable (FAIR) is a necessity for modern R&D teams navigating digital transformation. A recent study in Chemical Science introduced a fully open-source, end-to-end workflow to "FAIRify" R&D data.

Delivering a compelling presentation is a key skill for scientists—and the opening minutes often matter most. New research shows that AI can evaluate just the beginning of your talk and still provide meaningful, targeted feedback. It’s a fast, low-effort way to sharpen your delivery where it really counts.