At Logic Tech Labs, our research spans across cutting-edge domains including deep unfolding methods, optimization algorithms, high-speed electronics, and AI-driven hardware systems. We collaborate with academic and industry partners to advance the state of the art in signal processing, imaging, and embedded AI.
Our publications demonstrate our commitment to bridging theory and practice. We explore the integration of algorithmic and neural network approaches to deliver efficient, interpretable solutions for complex problems. From pioneering FPGA implementations of iterative algorithms to developing learn-to-optimize networks for radar and imaging applications, our work pushes the boundaries of what is possible.
In the future, we will continue to share insights, open-source tools, and articles that empower engineers and researchers to adopt advanced techniques in their projects.