most citedSpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

18 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

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. Drăguţoiu, 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…

cs.NE2024

Event-based backpropagation on the neuromorphic platform SpiNNaker2

Gabriel Béna, Timo Wunderlich, Mahmoud Akl +3

Neuromorphic computing aims to replicate the brain's capabilities for energy efficient and parallel information processing, promising a solution to the increasing demand for faster…

cs.NE2024★ 14 cited

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers

Zihao Chen, Zhili Xiao, Mahmoud Akl +17

We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using a Fowler-Nordheim quantum mec…

cs.ET2024★ 18 cited

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning

Hector A. Gonzalez, Jiaxin Huang, Florian Kelber +11

The joint progress of artificial neural networks (ANNs) and domain specific hardware accelerators such as GPUs and TPUs took over many domains of machine learning research. This de…