@ArtificialIntelligenceArticles
https://mila.quebec/yoshua-bengio-est-elu-a-la-royal-society/
@ArtificialIntelligenceArticles
https://mila.quebec/yoshua-bengio-est-elu-a-la-royal-society/
@ArtificialIntelligenceArticles
Mila
Yoshua Bengio est élu à la Royal Society - Mila
Mila est lieu de collaboration et un point de rencontre entre les principaux acteurs de l'intelligence artificielle à Montréal. Notre mission est de bâtir un pôle mondial d'avancées scientifiques qui inspire l'innovation et l'essor de l'intelligence artificielle…
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
ข้อมูลวีดีโอ หาก Model รู้เข้าใจระดับความลึกและรูปทรงจะสามารถ ทำ Augmented เติมเข้าไปในวีดีโอได้อย่างน่าสนใจ
https://www.youtube.com/watch?v=51CQObCd_K0&feature=youtu.be&fbclid=IwAR3UHcxiphy2OnhHpcKZSf4zYB-nW8PHyPHBgxcltw-8SCpi8z0sQ8mGtaw
https://www.youtube.com/watch?v=51CQObCd_K0&feature=youtu.be&fbclid=IwAR3UHcxiphy2OnhHpcKZSf4zYB-nW8PHyPHBgxcltw-8SCpi8z0sQ8mGtaw
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Wang et al.: https://arxiv.org/abs/2004.15004
Interactive visualization in the browser: http://poloclub.github.io/cnn-explainer/
#ConvolutionalNeuralNetworks #DeepLearning #NeuralNetworks
Wang et al.: https://arxiv.org/abs/2004.15004
Interactive visualization in the browser: http://poloclub.github.io/cnn-explainer/
#ConvolutionalNeuralNetworks #DeepLearning #NeuralNetworks
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
‘It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”’ — Denny Britz
Zheng et al.: https://arxiv.org/abs/2004.13332
Blog: https://blog.einstein.ai/the-ai-economist/
Q&A: https://salesforce.com/company/news-press/stories/2020/4/salesforce-ai-economist/
#AIGovernance #AIPolicy #DeepLearning
‘It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”’ — Denny Britz
Zheng et al.: https://arxiv.org/abs/2004.13332
Blog: https://blog.einstein.ai/the-ai-economist/
Q&A: https://salesforce.com/company/news-press/stories/2020/4/salesforce-ai-economist/
#AIGovernance #AIPolicy #DeepLearning
OpenAI releases Jukebox, a machine learning framework that generates music
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
GitHub
GitHub - openai/jukebox: Code for the paper "Jukebox: A Generative Model for Music"
Code for the paper "Jukebox: A Generative Model for Music" - openai/jukebox
TTNet: Real-time temporal and spatial video analysis of table tennis
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Should data scientists learn JavaScript?
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
freeCodeCamp.org
Should data scientists learn JavaScript?
The pros and cons of using the web’s #1 language for data scienceIf you have been following the tech landscape in recent years, you have probably noticed at least two things. For one, you may have noticed that JavaScript is a very popular language these days.…
Deep learning with graph-structured representations
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
dare.uva.nl
Digital Academic Repository - University of Amsterdam
400+ textbooks free to download
CS books on Python, deep learning, data science & AI.
Springer: http://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
CS books on Python, deep learning, data science & AI.
Springer: http://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
Data Science resume samples:
https://resumegenius.com/resume-samples/data-scientist-resume-example
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https://www.velvetjobs.com/resume/data-scientist-intern-resume-sample
Resume Genius
Data Scientist Resume Example & Writing Tips for 2025
Our data scientist resume examples for different niches and expert writing tips will help you create a strong resume that will land you your next job.
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
Google Docs
Data Science Group
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
GitHub
GitHub - PyRetri/PyRetri: Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥 - PyRetri/PyRetri