The Nano-Edge project aims to develop next-generation energy-efficient computing elements capable of processing time-dependent signals directly at the data source. With the rapid growth of the Internet of Things, smart sensing, and distributed systems, a major challenge remains the high energy consumption and data transfer load associated with traditional digital architectures. The project addresses this challenge by developing a physical computing node in which signal processing emerges from the intrinsic dynamics of the material.
Project funding:
Research Council of Lithuania, Designated Programme “Information technologies for the development of science and knowledge society”
Project results:
The research focuses on zinc oxide (ZnO) nanowire networks and their controllable temporal behavior, which can be utilized for signal recognition and preprocessing. The project integrates materials science, electronics, and nonlinear system analysis to create a novel architecture-level solution for edge computing systems.
The expected results will contribute to the development of energy-efficient information technologies, strengthen Lithuania’s and European scientific capacity in advanced computing architectures, and promote interdisciplinary competence development. The project will also support the training of early-career researchers and enhance international collaboration.
Period of project implementation: 2026-10-01 - 2028-09-30
Project coordinator: Kaunas University of Technology
