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Safran and the Technology Innovation Institute intend to lead the next evolution in geospatial intelligence

TII · Mar 17

Safran.AI and the Technology Innovation Institute (TII) intend to form a strategic alliance to develop a next-generation Agentic AI geospatial intelligence (GEOINT) platform. The platform will combine Safran.AI’s GEOINT expertise with TII’s expertise in Agentic AI and orchestration platforms, enabling autonomous reasoning and transforming spaceborne imagery into decision-grade intelligence. The collaboration will focus on three major technological streams. Why it matters: This partnership signifies a major advancement in sovereign geospatial intelligence capabilities within the UAE, moving from traditional analysis to autonomous understanding for enhanced national security and decision-making.

KAUST, Intel, and Brightskies collaborate to develop self-driving mobility platform

KAUST · Jul 19

KAUST, Intel, and Brightskies have launched REDD, a collaborative self-driving mobility platform, converting a conventional car into a self-driving vehicle with integrated AI software. Brightskies developed the self-driving system, powered by Intel® NUC platforms, utilizing their BrightDrive system. KAUST researchers will use the vehicle to test new techniques, leveraging real-world data to improve self-driving technologies. Why it matters: This partnership advances autonomous vehicle research in Saudi Arabia, aligning with the Kingdom's Vision 2030 by creating a platform for innovation and testing in a real-world environment.

Machine Learning Integration for Signal Processing

TII · Mar 17

Technology Innovation Institute's (TII) Directed Energy Research Center (DERC) is integrating machine learning (ML) techniques into signal processing to accelerate research. One project used convolutional neural networks to predict COVID-19 pneumonia from chest x-rays with 97.5% accuracy. DERC researchers also demonstrated that ML-based signal and image processing can retrieve up to 68% of text information from electromagnetic emanations. Why it matters: This adoption of ML for signal processing at TII highlights the potential for advanced AI techniques to enhance research and security applications in the UAE.