NeuroRisk is a physics-informed deep unrolled optimizer for risk-aware traffic engineering that achieves small optimality gaps and 100-100000x speedup over solvers while outperforming neural baselines on throughput.
Chen et al., Neural Networks, vol
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CBM-Dual is the first silicon-proven 65-nm digital processor for a 1024-neuron chaotic Boltzmann machine that supports dual-mode simulated annealing and reservoir computing with 99% fewer operations and 59% less area via a custom scheduler and multiply splitting.
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NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
NeuroRisk is a physics-informed deep unrolled optimizer for risk-aware traffic engineering that achieves small optimality gaps and 100-100000x speedup over solvers while outperforming neural baselines on throughput.
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CBM-Dual: A 65-nm Fully Connected Chaotic Boltzmann Machine Processor for Dual Function Simulated Annealing and Reservoir Computing
CBM-Dual is the first silicon-proven 65-nm digital processor for a 1024-neuron chaotic Boltzmann machine that supports dual-mode simulated annealing and reservoir computing with 99% fewer operations and 59% less area via a custom scheduler and multiply splitting.