<?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/07DB0160-F72E-4C4E-A0F6-E79A09E90CD5" ns1:id="07DB0160-F72E-4C4E-A0F6-E79A09E90CD5"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/433A41F6-4B09-4BDA-A6A2-36AD5A659573" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9A23161A-1959-4FCB-9521-E116C6250F8F" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9A23161A-1959-4FCB-9521-E116C6250F8F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2023-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/DA32D909-7B3E-49EC-B3EA-9725EE18D61F" ns1:rel="FUND" ns1:start="2022-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10042770</ns2:identifier></ns2:identifiers><ns2:title>Using Machine Learning to enhance performance of optimisation technology for applications in engineering design.</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Grant for R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>With this project, SmallSpark Space Systems aims to implement a new technique to accelerate its optimisation technologies; with a focus on improving our ability to tackle high-variable multi-objective problems. These types of problems are often observed in both the aerospace and automotive industry, and server as barriers for for the implemenation of AI-assisted engineering in these types of applications.

With our new methodology, we hope to change this.</ns2:abstractText></ns2:project>