Rekor Systems and Tel Aviv University LAMBDA Partner to Push the Frontiers of AI-based Roadway Intelligence

Rekor Systems, Inc. (NASDAQ:REKR) ("Rekor" or the "Company"), a trusted global authority in developing and delivering roadway intelligence using state-of-the-art AI and machine learning today announced a pioneering academic partnership with the Tel Aviv University Laboratory for AI, Machine Learning, Business & Data Analytics (LAMBDA). The collaboration will facilitate the exchange of knowledge, expertise, and resources between Rekor and Tel Aviv University's LAMBDA. This alliance is expected to propel the advancements in roadway intelligence to new heights and contribute significantly to the broader field of artificial intelligence and machine learning.

Further fortifying this partnership, Tel Aviv University's LAMBDA will also become a strategic member of the Rekor Partner Network (RPN). The RPN is a prominent global ecosystem of technology, data, and solution providers striving to innovate and expand the roadway intelligence domain. By harnessing Rekor's industry-leading expertise, the RPN aims to develop markets and deploy cutting-edge solutions.

Central to this collaboration is the core research objective of optimizing detection time and detection accuracy in incident reporting to improve the safety of roadway users and the world around them. To achieve this ambitious goal, the partnership harnesses state-of-the-art technologies, including artificial intelligence, machine learning, multi-source sensors, and data sets. These technologies will work in tandem to create an unparalleled synergy, unlocking new avenues for incident detection and response on roadways.

Rekor Systems' President and COO, David Desharnais, shared his enthusiasm about the partnership, stating, "Our collaboration with Tel Aviv University LAMBDA creates the opportunity to push AI in fundamentally new ways to transform the roadway ecosystem and intelligent transportation industry radically. Through our shared commitment to innovation, we aim to make roads safer and more efficient while at the same time pushing the frontiers of AI applications in transportation. Additionally, our joint mentorship program for post-graduate students at LAMBDA is an investment in the future generation of AI and machine learning thought leaders."

Professor Irad E. Ben-Galfrom, Tel Avi University's Head of Laboratory and AI Machine Learning Business and Data Analytics remarked on the partnership, "Rekor's expertise in smart transportation and digital living significantly aligns with our Lab's research goals at Tel Aviv University. Through this collaboration, the enterprise's goal is to optimize the trade-off between detection time and accuracy in incident reporting, leveraging state-of-the-art technology. This industry-academia partnership showcases our joint efforts to enhance the safety and efficiency of transportation systems in our digitalized world. We are excited about the potential impact of this collaboration and the opportunities it presents."

About the Tel Aviv University's LAMBDA

The Laboratory for AI, Machine Learning, Business & Data Analytics (LAMBDA) at Tel Aviv University is a renowned center for research and innovation. LAMBDA is committed to the advancement of AI, machine learning, and data analytics and strives to push the frontiers of knowledge and develop cutting-edge solutions for real-world challenges.

About Rekor Systems, Inc.

Rekor Systems, Inc. (NASDAQ: REKR) is a trusted global authority in developing and delivering roadway intelligence using state-of-the-art AI and machine learning. Pioneering the implementation of digital infrastructure in our communities, Rekor is redefining infrastructure by collecting, connecting, and organizing the world's mobility data - laying the foundation for a digital-enabled operating system for the road. Our Rekor One® Roadway Intelligence Engine powers all of our platforms and applications, providing the foundation of our technology by aggregating and transforming trillions of data points into actionable intelligence through proprietary computer vision, machine learning, and data fusion. Our solutions provide actionable insights that give governments and businesses a comprehensive picture of roadways while providing a collaborative environment that drives the world to be safer, greener, and more efficient.

Forward-Looking Statements

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