<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/D2B79570-9157-4C65-8AFD-9F47C55CB819" ns1:id="D2B79570-9157-4C65-8AFD-9F47C55CB819"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/3FAF171F-D3F6-4F1F-8C18-F4D5B35FDF49" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C3270F76-0C45-49AD-BA1F-186056609D83" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C3270F76-0C45-49AD-BA1F-186056609D83" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/C4B33D98-1B64-4E6B-A533-3E62C272C65B" ns1:rel="FUND" ns1:start="2024-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10091900</ns2:identifier></ns2:identifiers><ns2:title>The University of Essex and Tritonia Scientific Limited KTP 23_24 R4</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop and verify sophisticated Machine Learning techniques, to accelerate the processing of seabed data received from georeferenced 3D photogrammetry, to provide underwater clarity for clients.</ns2:abstractText></ns2:project>