Thales says deep-learning ATD/R module for TALIOS targeting pod enters flight tests, targets 2027 service

• Thales outlined results from nearly 10 years of R&D to embed frugal deep-learning AI in airborne combat optronics for real-time target detection.
• A new TALIOS targeting pod module, ATD/R, is in live flight tests; operational service is planned from 2027.
• Development focuses on running AI within aircraft power and heat limits using model compression, FPGAs, custom compute boards, mixed-expert architectures.
• R&D also targets data scarcity, aiming to let armed forces use their own imagery to continuously improve recognition performance.
• Work is underway on a next-generation T&R pod combining TALIOS and Reco-NG capabilities, adding frugal, hybrid, physics-informed AI functions.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. THALES SA published the original content used to generate this news brief on July 30, 2026, and is solely responsible for the information contained therein.