<?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/C1CBBE81-8E11-4674-AC19-BBC449C70F6D" ns1:id="C1CBBE81-8E11-4674-AC19-BBC449C70F6D"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/2C5878EF-9547-42C9-A5C9-BF255A90C17B" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C2DCA5FB-C273-4345-A44B-388197F8A29E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C2DCA5FB-C273-4345-A44B-388197F8A29E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-02-28T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/8F8D6777-FF0C-4149-A6D0-2CDA0217842A" ns1:rel="FUND" ns1:start="2023-12-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10089458</ns2:identifier></ns2:identifiers><ns2:title>SenseAI - AI-driven compressed image acquisition</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>From satellites to CCTV to CT-scans, sensing systems of all kinds are becoming ever more sophisticated, but in doing so they are generating more data than ever, and creating ever more challenges as a result for bandwidth, data analysis and storage.

SenseAI is a suite of patented technologies from the University of Liverpool that was developed from the ground-up specially to overcome these drastic limitations. At the core are 'subsampling' methods which exploit redundancy within data, and allow entire images and spectra to be formed from only a subset of measurements, meaning that hi-fidelity images can be acquired, reconstructed, and analysed using only a fraction of the time or radiation exposure (low as 1%).

It originated from the field of Electron Microscopy (where the University of Liverpool has a world-class team and facilities) and where these challenges severely restrict usage, and beam damage to samples is also a key problem. Through the ICURe Explore process, other future markets for the application were discovered, in particular medical imaging (X-Ray, CT, NMR, MRI and ultrasound) as well as for security such as CCTV and military such as airborne sensors and satellite imaging. Though this project, SenseAI seeks to develop enterprise-grade software, to speed up and democratise image processing within many fields, and unlock more possibilities in analysis, health screening and security</ns2:abstractText></ns2:project>