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TEE: The Tessera Embeddings Explorer

Ecology seminar by Srinivasan Keshav, University of Cambridge

Hosted by Energy and Environment Group, Department of Computer Science and Technology, University of Cambridge

Friday 13:00–14:00 London (GMT+1)

Ended

Online

Abstract

Srinivasan Keshav (University of Cambridge) presents an interface designed to help ecologists use AI for remote sensing despite unfamiliarity with embeddings and algorithms. The Tessera Embeddings Explorer lets practitioners privately explore a region of interest, create habitat maps and perform regressions using their domain expertise and ground-truth knowledge.

The talk demonstrates the tool and explains the design principles and the software architecture that follows from them, connecting usable ecological workflows with AI representations. Keshav is the Robert Sansom Professor of Computer Science at Cambridge.

Topics

remote sensingembeddingshabitat mappingprivacy-preserving interfaces

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