A research consortium in Brandenburg is developing advanced edge AI technologies aimed at improving sensor systems for medical technology, industrial electronics, and environmental monitoring. Under the project name InSeKT (“Intelligent Sensor Edge Technologies”), the Technical University of Applied Sciences Wildau, the Leibniz Institute for High Performance Microelectronics (IHP), and the Fraunhofer Institute for Photonic Microsystems (IPMS) are collaborating to create compact sensor systems that process data directly at the source — the “edge” of IT networks.
In contrast to today’s widespread reliance on centralized cloud computing, the new approach focuses on decentralized data processing. Large volumes of data no longer need to be transmitted over long distances, which reduces latency, minimizes energy use, and significantly enhances data security. For applications in medical technology, industrial automation, and environmental analysis, these capabilities are increasingly essential.