Short summaries of #research papers: a great idea!
https://www.shortscience.org

#artificialintelligence #science

If you want to learn machine learning you can now just go on https://PyTorch.org/ and run the tutorials directly into your own notebook with a CPU or GPU provided by Google in their cloud. It's one click and it's totally free. A great collaboration between Facebook and Google. Now you don't have any reason not to learn AI!

When #deeplearning #AI exceeds subspecialty radiologist performance for chest X-ray interpretation (and at multiple institutions) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728630

Reinforcement Learning Will Be 2019's Biggest Trend In Data Science
https://www.forbes.com/sites/quora/2018/10/26/reinforcement-learning-will-be-2019s-biggest-trend-in-data-science/

1.5 MB really feels too low to me … but maybe I should read the article first or spend more time on compressing neural language models before commenting further. 🤔 [Kids store 1.5 megabytes of information to master their native language |

https://royalsocietypublishing.org/doi/10.1098/rsos.181393

CS224N Natural Language Processing with Deep Learning

New CS224N online hub: https://onlinehub.stanford.edu/cs224

#ArtificialIntelligence #MachineLearning #NLProc

Now anybody can GAN! Highly stable and robust architecture which requires little to no hyperparameter tuning.


https://arxiv.org/abs/1903.06048

Accompanying code is released for research purposes at https://github.com/akanimax/BMSG-GAN

The evolution of art through the lens of deep convolutional networks

“The Shape of Art History in the Eyes of the Machine”, Elgammal et al.: https://arxiv.org/pdf/1801.07729.pdf

#art #artificialintelligence #deeplearning

5 NEW GENERATIVE ADVERSARIAL NETWORK (GAN) ARCHITECTURES FOR IMAGE SYNTHESIS
https://www.topbots.com/ai-research-generative-adversarial-network-images/

ThunderNet: Towards Real-time Generic Object Detection
https://arxiv.org/pdf/1903.11752v1.pdf

Interested in #ReinforcementLearning #ComputerScience https://arxiv.org/pdf/1903.11907v1.pdf

Jetson Nano 😍

NVIDIA Jetson Nano enables the development of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including home robots.

It's a small AI computer to create intelligent systems:https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/

#ArtificialIntelligence #DeepLearning #MachineLearning #ReinforcementLearning #Robotics

Attention in RNNs: Understanding the mechanism with a detailed example #DeepLearning

https://medium.com/datadriveninvestor/attention-in-rnns-321fbcd64f05

“Nip Fake News in the bud: Introducing PreFakes” by UnFound
https://medium.com/unfound-news/nip-fake-news-in-the-bud-introducing-prefakes-69f768af2dc6

Reversible Adversarial Examples
Liu et al.: https://arxiv.org/abs/1811.00189
#ComputerVision #PatternRecognition #MachineLearning #MontréalAI #NeuralNetworks

Machine learning and artificial intelligence in the quantum domain"
By Vedran Dunjko, Hans J. Briegel: https://arxiv.org/abs/1709.02779
#QuantumPhysics #ArtificialIntelligence #ComputerVision #MontrealAI #PatternRecognition

Decentralized AI: The Power and the Necessity

https://www.youtube.com/watch?v=nt_ECiplQns

StrokeNet: A Neural Painting Environment

Zheng et al.: https://openreview.net/forum?id=HJxwDiActX

#imagegeneration #differentiablemodel #reinforcementlearning #deeplearning #modelbased

Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research

https://arxiv.org/abs/1903.11299