3 papers
cs.ET2026
The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing
Stefan Scholze, Johannes Partzsch, Sebastian Höppner +27
In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an…
cs.NE2026
Heterogeneous computing platform for real-time robotics
Jakub Fil, Yulia Sandamirskaya, Hector Gonzalez +18
After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient a…
eess.SP2024
Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware
Vlad C. Andrei, Alexandru P. DrÄguÅ£oiu, Gabriel Béna +5
This paper explores the potential of conversion-based neuromorphic algorithms for highly accurate and energy-efficient single-snapshot multidimensional harmonic retrieval (MHR). By…