Theses in the Field: Efficient, Adaptive and Decentralized AI
Our interdisciplinary team works at the intersection of Artificial Intelligence, Embedded Systems and Edge Computing. Our goal is to develop forward-looking AI solutions for resource-constrained, decentralized systems – from autonomous sensors to networked devices to industrial applications. Central questions include: How can AI models be efficiently operated on microcontrollers? Which domain adaptation methods are suitable for embedded devices? Which domain adaptation methods are suitable for embedded devices? How can decentralized…
