11 citations · 22 across the 9 of their papers we have counts for
4 papers · 1 filter
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Dengyu Wu, Jiechen Chen, Bipin Rajendran +2
Inspired by biological processes, neuromorphic computing leverages spiking neural networks (SNNs) to perform inference tasks, offering significant efficiency gains for workloads in…
In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models
Zihang Song, Matteo Zecchin, Bipin Rajendran +1
Sequence models have demonstrated the ability to perform tasks like channel equalization and symbol detection by automatically adapting to current channel conditions. This is done…
Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection
Zihang Song, Osvaldo Simeone, Bipin Rajendran
In-context learning (ICL), a property demonstrated by transformer-based sequence models, refers to the automatic inference of an input-output mapping based on examples of the mappi…
Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications
Eva Lagunas, Flor Ortiz, Geoffrey Eappen +7
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can enhance the energy efficiency of deployments of artificial intelligence (AI) for specific workloads.…