Statistical physics of liquid brains
Pinero et al.: https://www.biorxiv.org/content/biorxiv/early/2018/11/26/478412.full.pdf
#brain #physics #technology
Pinero et al.: https://www.biorxiv.org/content/biorxiv/early/2018/11/26/478412.full.pdf
#brain #physics #technology
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...
Deep learning and the Schrödinger equation
By Mills et al.: https://arxiv.org/abs/1702.01361
#ArtificialInteligence #Science #DeepLearning #MachineLearning #Physics #MontrealAI
By Mills et al.: https://arxiv.org/abs/1702.01361
#ArtificialInteligence #Science #DeepLearning #MachineLearning #Physics #MontrealAI
Machine Learning in High Energy Physics Community White Paper
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Machine Learning in High Energy Physics Community White Paper
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Theoretical Physics for Deep Learning workshop at #ICML2019
Slides and videos: https://sites.google.com/view/icml2019phys4dl/schedule?authuser=0
#Physics #DeepLearning
Slides and videos: https://sites.google.com/view/icml2019phys4dl/schedule?authuser=0
#Physics #DeepLearning
"How to Understand the Universe When You’re Stuck Inside of It"
By Amanda Gefter: https://www.quantamagazine.org/were-stuck-inside-the-universe-lee-smolin-has-an-idea-for-how-to-study-it-anyway-20190627/
#Physics #Universe
By Amanda Gefter: https://www.quantamagazine.org/were-stuck-inside-the-universe-lee-smolin-has-an-idea-for-how-to-study-it-anyway-20190627/
#Physics #Universe
Quanta Magazine
How to Understand the Universe When You’re Stuck Inside of It
Lee Smolin’s radical idea to reimagine how we view the universe.
"Subspace Neural Physics: Fast Data-Driven Interactive Simulation"
Holden et al.: http://theorangeduck.com/media/uploads/other_stuff/deep-cloth-paper.pdf
#machinelearning #neuralnetworks #physics
Holden et al.: http://theorangeduck.com/media/uploads/other_stuff/deep-cloth-paper.pdf
#machinelearning #neuralnetworks #physics
PHYRE: A New Benchmark for Physical Reasoning
By: Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson and Ross Girshick. Facebook AI Research : https://research.fb.com/publications/phyre-a-new-benchmark-for-physical-reasoning/
Demo: https://player.phyre.ai
#DeepLearning #Physics #ReinforcementLearning
By: Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson and Ross Girshick. Facebook AI Research : https://research.fb.com/publications/phyre-a-new-benchmark-for-physical-reasoning/
Demo: https://player.phyre.ai
#DeepLearning #Physics #ReinforcementLearning
Facebook Research
PHYRE: A New Benchmark for Physical Reasoning - Facebook Research
Understanding and reasoning about physics is an important ability of intelligent agents. We develop the PHYRE benchmark for physical reasoning that contains a set of simple classical mechanics puzzles in a 2D physical environment.
Wave Physics as an Analog Recurrent Neural Network
Hughes et al.: https://arxiv.org/abs/1904.12831
#Physics #Artificialintelligence #DeepLearning
@ArtificialIntelligenceArticles
Hughes et al.: https://arxiv.org/abs/1904.12831
#Physics #Artificialintelligence #DeepLearning
@ArtificialIntelligenceArticles
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...