UCL Course on Reinforcement Learning
RL Course by David Silver : https://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
#reinforcementlearning #machinelearning #deeplearning

@ArtificialIntelligenceArticles

First fastMRI challenge now open for submissions
https://ai.facebook.com/blog/fastmri-challenge/

A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in betw... https://arxiv.org/abs/1909.00021

Creating a data set and a challenge for deepfakes
https://ai.facebook.com/blog/deepfake-detection-challenge/

With $17M in funding, John’s Hopkins launches Center for Psychedelic and Consciousness Research

https://hub.jhu.edu/2019/09/04/hopkins-launches-psychedelic-center/

Interactive Conditional Density Estimation with Neural Networks - PyTorch & Bokeh
By Imad El Hanafi :
Blog: https://imadelhanafi.com/posts/conditional_density_estimation_nn/
Github: https://github.com/imadelh/Neural-CDE
Live version: https://nn-cde.imadelhanafi.com/
#pytorch #neuralnetworks #machinelearning

ParaQG: A System for Generating Questions and Answers from Paragraphs
Kumar et al.: https://arxiv.org/abs/1909.01642
#ArtificialIntelligence #Language #MachineLearning

Mathematics for Machine Learning with 75+ video tutorials, 8+ hours of FREE content.

[https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7](https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7)

Write With Transformer
Hugging Face released a new version of their Write With Transformer app, using a language model trained directly on Arxiv to generate Deep Learning and NLP completions!
In addition, they add state-of-the-art NLP models such as GPT, GPT-2 and XLNet completions:

https://transformer.huggingface.co/

H / T : Lysandre Debut
#Transformer #Pytorch #NLP

@ArtificialIntelligenceArticles

Deep Equilibrium Models
Bai et al.: https://arxiv.org/abs/1909.01377
Code: https://github.com/locuslab/deq
Video: https://youtube.com/watch?v=ZA5FpkYhkAI
#MachineLearning #DeepLearning #ArtificialIntelligence

Google Dataset Search

https://toolbox.google.com/datasetsearch

#artificialintelligence #deeplearning #machinelearning

Researchers have created the most detailed map of the mouse brain to date, capturing the projections and connections of over 1,000 neurons (and counting).
https://gfycat.com/limitedorganicleopardseal-rsciences

Press release describing the research available here.

Research article: https://www.cell.com/cell/fulltext/S0092-8674(19)30842-6

Cool tool, where you can browse the connectome: https://ml-neuronbrowser.janelia.org/


https://t.iss.one/ArtificialIntelligenceArticles

SqueezeNAS: Fast neural architecture search for faster semantic segmentation
https://export.arxiv.org/abs/1908.01748

PyTorch for Deep Learning with Python Bootcamp


https://couponportable.blogspot.com/2019/09/pytorch-for-deep-learning-with-python.html

Evolution Strategies
Blog by Lilian Weng : https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html
#Evolution #MachineLearning #ReinforcementLearning

How is AI re-architecting different industries? Watch Andrew's fireside chat with TechCrunch's Lucas Matney: https://hubs.ly/H0kF0hx0

Carnegie Mellon University, Accepted Papers at NeurIPS 2019

Learn more → https://mld.ai/neurips2019

#NeurIPS2019 #NeurIPS #MachineLearning #ML #ComputationalNeuroscience #Research #CarnegieMellon #CMUAI #mldcmu

ICYMI: Proponents of an AI technique called generative modeling see it as novel enough to be considered a “third way” of learning about the universe. By generating its own data, the algorithm identifies the most plausible explanation for observations about a physical system, without preprogrammed knowledge of the physical processes at work in that system. The technique is clearly powerful, but whether it truly represents a new approach to science is open to debate. https://www.quantamagazine.org/how-artificial-intelligence-is-changing-science-20190311/