Researchers from Technische Universität Dresden and University of Manchester published a technical paper titled “The SpiNNaker2 Chip: A Many-Core Platform for Flexible and Scalable Brain-Inspired Computing.” Abstract Excerpt: The paper presents SpiNNaker2 as a chip that “bridges the gap between deep networks and neuromorphic computing” and reports “ up to 4.5 TOPS in high performance mode and up to 2.7 TOPS/W efficiency in high efficiency mode for INT8 workloads.” Find the technical paper here. July 2026. See comments from Christian Mayer here. S. Scholze et al., “The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing,” in IEEE Open Journal of Circuits and Systems, doi: 10.1109/OJCAS.2026.3714974. The post Chip Bridges Neuromorphic And Deep-Network Computing (TU Dresden) appeared first on Semiconductor Engineering.
Source: https://semiengineering.com/chip-bridge ... u-dresden/