<?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/A84FDD62-D8B2-4B92-9D5C-FA46CA56958D" ns1:id="A84FDD62-D8B2-4B92-9D5C-FA46CA56958D"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/AAC96001-B0D0-4457-825A-8BDD1BC4E1B6" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5173C350-B1BA-44BA-8020-AF665F9BBECB" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5173C350-B1BA-44BA-8020-AF665F9BBECB" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2028-02-29T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/E2E1DCE8-E3B3-48C8-B7B9-64BE56654852" ns1:rel="FUND" ns1:start="2024-03-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10092132</ns2:identifier></ns2:identifiers><ns2:title>Intelligent Radiation Sensor Readout System</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>EU-Funded</ns2:grantCategory><ns2:leadFunder>Horizon Europe Guarantee</ns2:leadFunder><ns2:abstractText>The vision of i-RASE is to pioneer a new class of radiation sensor system-in-package (SIP) chips at the intersection of computer scienceand neuroscience-oriented approaches to artificial intelligence (AI) development. The i-RASE project aims to design, build, test, and implement the first on-the-fly photon-by-photon radiation detector with transformational potential for various radiation applications, such as medical imaging, industrial inspection, scientific space instrumentation, environmental monitoring, and more. The i-RASE project will develop physics-inspired artificial neural networks (ANNs) for comprehensive sensor signal processing (SP) and real-time (RT) measurement of radiation interactions. It will compact this technology into an ultimate vision for SP embedded in hardware (HW) as an &amp;quot;all-in-one&amp;quot; SIP, enabling cost- and energy-efficient detection and intelligent radiation data output with unparalleled accuracy and speed. This approach enhances measurement precision and speed by utilizing complex SP, event characterization, and on-the-fly processing of incident radiation-induced signals in near real-time. As a result, it facilitates the retrieval of comprehensive information on incident radiation, ultimately improving measurement accuracy and speed while reducing digital data output.</ns2:abstractText></ns2:project>