Aug 16, 2023 · HyperSNN: A new efficient and robust deep learning model for resource constrained control applications. Authors:Zhanglu Yan, Shida Wang, Kaiwen ...
Aug 17, 2023 · HyperSNN: A new efficient and robust deep learning model for resource constrained control applications ... control applications. XX, 2024 ...
Our model was tested on AI Gym benchmarks, including Cartpole, Acrobot, MountainCar, and Lunar Lander. HyperSNN achieves control accuracies that are on par with ...
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications ... Integrating Deep Learning and Synthetic Biology ...
In light of the increasing adoption of edge computing in areas such asintelligent furniture, robotics, and smart homes, this paper introducesHyperSNN, ...
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications ... Neural Network Models to Rate-encoded Spiking Neural ...
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications ... Neural Network Models to Rate-encoded Spiking Neural ...
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications ... model of environmental behavior under the control ...
Readers: Everyone. HyperSNN: A new efficient and robust deep learning model for resource constrained control applications · Zhanglu Yan, Shida Wang, Kaiwen ...
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