AI is not needed everywhere... but wherever it can improve people’s lives, we try to make it interactive, energy-efficient and privacy-preserving. Drawing inspiration from biological brains, we explore neuromorphic hardware and algorithms that only sense and process changes in the environment to build fast, efficient and adaptive systems.

I'm Lyes Khacef, senior research scientist with 8+ years of experience in neuromorphic computing and edge AI. Demonstrated ability to lead inter-disciplinary R\&D projects, manage academic and industrial collaborations and translate advanced research into practical, low-power solutions. Passionate about bridging sensors, processors and algorithms to optimize system-level efficiency and enhance scalability and real-world impact.