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Transductive Spiking Graph Neural Networks for Loihi
We showcase the performance benefits of combining neuromorphic Bayesian optimization with our approach for citation graph classification using fixed-precision spiking neurons.
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.
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor
Neuromorphic processors have garnered considerable interest in recent years for their potential in energy-efficient and high-speed computing.
Neuromorphic Bayesian Optimization in Lava
The ever-increasing demands of computationally expensive and high-dimensional problems require novel optimization methods to find near-optimal solutions in a reasonable amount of time.
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