Cassyni, the platform for organising, running, and publishing research seminars, is launching a next-generation AI video product to enrich and extract knowledge from thousands of hours of research videos.
As part of a pilot with Springer Nature Mathematics, Cassyni will be indexing and enriching video content from a range of meetings, including B Waves, Logica Universalis, and the International Conference on Optimization and Decision Science.
Cassyni's technology automatically transforms unstructured research videos into structured, searchable content with navigable chapters, high-quality transcripts, extracted slides from speaker presentations, and resolved references. Besides enriching the seminars within Cassyni's library, the technology can be applied more widely.
To see the Springer Mathematics and Statistics video collection, visit https://cassyni.com/c/springer-math.
Click here to read the original press release.
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