Conditional Flow Variational Autoencoders for Structured Sequence Prediction. https://arxiv.org/abs/1908.09008
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions. https://arxiv.org/abs/1908.08999
Gradient Weighted Superpixels for Interpretability in CNNs. https://arxiv.org/abs/1908.08997
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables. https://arxiv.org/abs/1908.08996
Local Unsupervised Learning for Image Analysis. https://arxiv.org/abs/1908.08993
Researchers demonstrate all-optical neural network for deep learning
https://phys.org/news/2019-08-all-optical-neural-network-deep.html
https://phys.org/news/2019-08-all-optical-neural-network-deep.html
phys.org
Researchers demonstrate all-optical neural network for deep learning
Even the most powerful computers are still no match for the human brain when it comes to pattern recognition, risk management, and other similarly complex tasks. Recent advances in optical neural networks, ...
The many faces of deep learning
https://arxiv.org/abs/1908.10206
https://arxiv.org/abs/1908.10206
AI For Everyone Free course from Andrew Ng
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
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https://www.coursera.org/learn/ai-for-everyone
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
https://www.coursera.org/learn/ai-for-everyone
Coursera
AI For Everyone
Offered by DeepLearning.AI. AI is not only for ... Enroll for free.
Interesting paper: A guide to deep learning in healthcare by Jeff Dean , Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun https://www.nature.com/articles/s41591-018-0316-z https://t.iss.one/ArtificialIntelligenceArticles
How Chemistry Computes: Language Recognition by Non-Biochemical Chemical Automata. From Finite Automata to Turing Machines
Marta Duenas-Diez and Juan Pérez-Mercader : https://www.cell.com/iscience/fulltext/S2589-0042(19)30285-8
#artificialintelligence #bioengineering #artificialbiology
Marta Duenas-Diez and Juan Pérez-Mercader : https://www.cell.com/iscience/fulltext/S2589-0042(19)30285-8
#artificialintelligence #bioengineering #artificialbiology
iScience
How Chemistry Computes: Language Recognition by Non-Biochemical Chemical Automata. From Finite Automata to Turing Machines
Chemistry; Chemical Reaction; Computer Science; Theory of Computation
Hierarchical Text Classification with Reinforced Label Assignment
Mao et al.: https://arxiv.org/abs/1908.10419
#InformationRetrieval #MachineLearning #ReinforcementLearning
Mao et al.: https://arxiv.org/abs/1908.10419
#InformationRetrieval #MachineLearning #ReinforcementLearning
Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night
Cong et al.: https://arxiv.org/abs/1908.10526
GitHub: https://github.com/bcmi/Image_Harmonization_Datasets
#ArtificialIntelligence #DeepLearning #MachineLearning
Cong et al.: https://arxiv.org/abs/1908.10526
GitHub: https://github.com/bcmi/Image_Harmonization_Datasets
#ArtificialIntelligence #DeepLearning #MachineLearning
Large Memory Layers with Product Keys
Lample et al.: https://arxiv.org/abs/1907.05242
#ArtificialIntelligence #MachineLearning #NeuralNetworks
Lample et al.: https://arxiv.org/abs/1907.05242
#ArtificialIntelligence #MachineLearning #NeuralNetworks
arXiv.org
Large Memory Layers with Product Keys
This paper introduces a structured memory which can be easily integrated into a neural network. The memory is very large by design and significantly increases the capacity of the architecture, by...
Mile-Ex Artificial Intelligence HQ: San Francisco Buyers Paid 153 million 🤔
https://www.lapresse.ca/affaires/201908/29/01-5239206-qg-de-lintelligence-artificielle-du-mile-ex-les-acheteurs-de-san-francisco-ont-paye-153-millions.php
https://www.lapresse.ca/affaires/201908/29/01-5239206-qg-de-lintelligence-artificielle-du-mile-ex-les-acheteurs-de-san-francisco-ont-paye-153-millions.php
La Presse
QG de l’intelligence artificielle du Mile-Ex : les acheteurs de San Francisco ont payé 153 millions
Il semble bien que l’intelligence artificielle donne de la valeur à l’immobilier.
Blue Brain finds how neurons in the mouse neocortex form billions of synaptic connections. Researchers have combined 2 high profile, large-scale datasets to produce something completely new—a first draft model of the rules guiding neuron-to-neuron connectivity of a whole mouse neocortex
https://medicalxpress.com/news/2019-08-blue-brain-neurons-mouse-neocortex.html
https://medicalxpress.com/news/2019-08-blue-brain-neurons-mouse-neocortex.html
Medicalxpress
Blue Brain finds how neurons in the mouse neocortex form billions of synaptic connections
Researchers at EPFL's Blue Brain Project, a Swiss brain research Initiative, have combined two high profile, large-scale datasets to produce something completely new—a first draft model of the rules ...
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segme... https://arxiv.org/abs/1908.10454
Hierarchical Text Classification with Reinforced Label Assignment. https://arxiv.org/abs/1908.10419