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Found 3 papers, 1 papers with code
Neuromorphic quadratic programming for efficient and scalable model predictive control
Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problems.
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs.
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs
Neuromorphic computing applies insights from neuroscience to uncover innovations in computing technology.
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