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The Fraunhofer Institute for Photonic Microsystems (IPMS) aims to support more secure, faster data processing by integrating machine learning algorithms into digital devices.
Although AI-enabled devices are firmly integrated with daily life, the processing of data inputs takes place on large, external servers. Embedded artificial intelligence (edge AI) is poised to change this by allowing those processing tasks to take place directly on the device. However, the performance of AI, especially in very small devices, has so far been/
The researchers at Fraunhofer IPMS are working to remedy this by networking expertise and developments from disparate research areas. For example, in an internal institute project, findings from microsensor and actuator technology were combined with the latest technologies in nanoelectronics, wireless communication, and processor developments.
The combination enables sensor- or actuator-related signal preprocessing using AI-based methods, providing advantages in low latency processing and more secure data processing while eschewing the need for network connectivity. Additionally, the use of edge AI to process data would enable re-learning locally in the field, so that the system could be optimized for specific on-site boundary conditions.
