Funding to develop and demonstrate an optical fire detector that uses AI/ML to maintain fast, reliable detection and coverage while operating at temperatures up to 400°F. The device is intended for deployment in high-performance engine nacelles where current detectors may fail due to heat. The project focuses on thermal tolerance, responsiveness, and real-world demonstration.