<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/39F172D5-5147-4278-9460-7FFB88A7A765" ns1:id="39F172D5-5147-4278-9460-7FFB88A7A765"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/72E2C08B-58A2-4936-B982-373B1CF5CB93" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ADB8457B-3767-4C45-91E8-E7EC76F160E5" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ADB8457B-3767-4C45-91E8-E7EC76F160E5" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A0B620B0-9611-471F-992D-493A7FC16C65" ns1:rel="FUND" ns1:start="2025-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10139240</ns2:identifier></ns2:identifiers><ns2:title>University of Northumbria at Newcastle and Siemens Energy Industrial Turbomachinery Limited KTP 24_25 R3</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop an advanced platform for predicting and tracking machinery components and sub-assembly obsolescence in gas turbines using AI-driven tools and machine learning techniques.</ns2:abstractText></ns2:project>