Toward an AI Physicist for Unsupervised Learning
By Tailin Wu (MIT), Max Tegmark (MIT): https://arxiv.org/abs/1810.10525
#ArtificialIntelligence #ComputationalPhysics #DisorderedSystems
By Tailin Wu (MIT), Max Tegmark (MIT): https://arxiv.org/abs/1810.10525
#ArtificialIntelligence #ComputationalPhysics #DisorderedSystems
Wave Physics as an Analog Recurrent Neural Network
Hughes et al.: https://arxiv.org/abs/1904.12831
#ComputationalPhysics #DeepLearning #MachineLearning #EvolutionaryComputing #Physics
Hughes et al.: https://arxiv.org/abs/1904.12831
#ComputationalPhysics #DeepLearning #MachineLearning #EvolutionaryComputing #Physics
arXiv.org
Wave Physics as an Analog Recurrent Neural Network
Analog machine learning hardware platforms promise to be faster and more energy-efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural candidate...
"Cellular automata as convolutional neural networks"
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics
Cellular automata as convolutional neural networks"
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics
By William Gilpin: https://arxiv.org/abs/1809.02942
#CellularAutomata #NeuralNetworks #NeuralComputing #EvolutionaryComputing #ComputationalPhysics