Nvidia's new GPU is Deep Learning Beast !!!
It delivers 130 teraflops of DL performance &11 GigaRays of ray-tracing performance at1350MHz base clock speed https://goo.gl/FRA1N7
It delivers 130 teraflops of DL performance &11 GigaRays of ray-tracing performance at1350MHz base clock speed https://goo.gl/FRA1N7
Do you want to know how machine learning is used in physics research? Check the slides and videos from the #PhysicsNext conference on Machine Learning
https://journals.aps.org/physics-next/2018/machine-learning-abstracts
https://t.iss.one/ArtificialIntelligenceArticles
https://journals.aps.org/physics-next/2018/machine-learning-abstracts
https://t.iss.one/ArtificialIntelligenceArticles
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7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
Deep Learning for Classical Japanese Literature. https://arxiv.org/abs/1812.01718
A Deep Learning based magnifying glass
Blog by Francesco Cardinale: https://medium.com/idealo-tech-blog/a-deep-learning-based-magnifying-glass-dae1f565c359
Blog by Francesco Cardinale: https://medium.com/idealo-tech-blog/a-deep-learning-based-magnifying-glass-dae1f565c359
Developing brain atlas using deep learning algorithms https://techxplore.com/news/2018-07-brain-atlas-deep-algorithms.html
NeurIPS 2018 | Deep Reinforcement Learning Workshop
Friday December 7th, 2018
08:00 AM -- 07:00 PM
Schedule: https://sites.google.com/view/deep-rl-workshop-nips-2018/home
Friday December 7th, 2018
08:00 AM -- 07:00 PM
Schedule: https://sites.google.com/view/deep-rl-workshop-nips-2018/home
Top 20 Deep Learning Papers https://goo.gl/8gfKHE @ArtificialIntelligenceArticles
Best ICML papers on Exploration of Deep Reinforcement Learning Agents.
https://www.youtube.com/watch?v=Tge7LPT9vGA&feature=share
https://www.youtube.com/watch?v=Tge7LPT9vGA&feature=share
YouTube
ERL Workshop @ ICML 2018: Best Paper Talks
Best paper talks at the Exploration in RL (ERL) Workshop at ICML 2018. The best papers are: - Abhishek Gupta, Russell Mendonca, Yuxuan Liu, Pieter Abbeel and...
The intertwined quest for understanding biological intelligence and creating artificial intelligence.
https://goo.gl/ADL19x
https://goo.gl/ADL19x
SpaceSheet: Interactive Latent Space Exploration through a Spreadsheet Interface
https://vusd.github.io/spacesheet/
Paper: https://nips2018creativity.github.io/doc/spacesheets.pdf
https://vusd.github.io/spacesheet/
Paper: https://nips2018creativity.github.io/doc/spacesheets.pdf
Basic protocols in quantum reinforcement learning with superconducting circuits
https://www.nature.com/articles/s41598-017-01711-6
https://www.nature.com/articles/s41598-017-01711-6
Progress-in-Quantum-Reinforcement-Learning
https://qtml2017.di.univr.it/resources/Slides/Progress-in-Quantum-Reinforcement-Learning.pdf
https://qtml2017.di.univr.it/resources/Slides/Progress-in-Quantum-Reinforcement-Learning.pdf
Advances in Quantum Reinforcement Learning. https://arxiv.org/abs/1811.08676
SlowFast Networks for Video Recognition
Feichtenhofer et al.: https://arxiv.org/abs/1812.03982
#MachineLearning #ComputerVision #DeepLearning #PatternRecognition #Technology
Feichtenhofer et al.: https://arxiv.org/abs/1812.03982
#MachineLearning #ComputerVision #DeepLearning #PatternRecognition #Technology
The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning
By Yang-Hui He: https://arxiv.org/abs/1812.02893
#HighEnergyPhysics #MathematicalPhysics #AlgebraicGeometry #MachineLearning #ArtificialIntelligence @ArtificialIntelligenceArticles
By Yang-Hui He: https://arxiv.org/abs/1812.02893
#HighEnergyPhysics #MathematicalPhysics #AlgebraicGeometry #MachineLearning #ArtificialIntelligence @ArtificialIntelligenceArticles
Weighted Risk Minimization & Deep Learning. https://arxiv.org/abs/1812.03372
No Peek: A Survey of private distributed deep learning. https://arxiv.org/abs/1812.03288