Research Highlights

model of neuromorphic computing for real-world autonomous racing

ORNL researchers demonstrate neuromorphic computing capabilities via scaled autonomous racing.

June 1, 2021

(a) Overview of the new approach. (b) Comparison of EONS and proposed method on cart pole balancing task. Lines show average max fitness value at each epoch over ten evolutionary runs for each algorithm. Shaded areas show the one standard deviation range for the max fitness values across multiple evolutionary runs at each epoch. Computer Science and Mathematics Division CSMD ORNL

Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks

December 16, 2020

Researchers from Oak Ridge National Laboratory and the University of Central Florida have extended an evolutionary approach for training spiking neural networks.

Beyond Moore Group

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ORNL researchers demonstrate neuromorphic computing capabilities via scaled autonomous racing.

Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks