by Tove Kvarnström | Feb 28, 2023
PI: Joachim Rodrigues (LU); co-PI: Oscar Gustafsson (LiU) A promising technique to boost performance and energy efficiency in data-centric computing architectures is the integration of computation logic in the near proximity of on-chip memory. In this project, we...
by Tove Kvarnström | Feb 28, 2023
PI: Amir Aminifar (LU); co-PIs: Christoph Kessler (LiU), Petru Eles (LiU) The new generation of artificial intelligence (AI) and machine learning (ML) techniques have recently been shown to require non-negligible energy for both training and inference. FL4IoT will...
by Tove Kvarnström | Feb 28, 2023
PI: Oscar Gustafsson (LiU); co-PI: Joachim Rodrigues (LU) Trading energy for accuracy is a promising approach to reduce the computing energy dissipation. Especially, for classes of applications with inherent resiliency, including AI/ML, significant reductions can be...
by Lena Tasse | May 3, 2021
PI: Oscar Gustafsson (LiU). Co-PI: Håkan Johansson (LiU). Collaborator: Per Larsson-Edefors (CTH) Optical networks provides a backbone of the contemporary and future communication infrastructure, enabling high-speed interconnection among the myriad of devices...
by Lena Tasse | May 3, 2021
PI: Mats Pettersson (BTH). Collaborators: Hans Hellsten (HH), Fredrik Gustafsson (LiU) Multistatic high-resolution sensing at THz frequencies is the goal of this project, with applications in many areas, such as industry, logistics, health care, and surveillance....
