Face detection and face recognition in the browser with tensorflow.js

https://github.com/justadudewhohacks/face-api.js/tree/face-landmarks

https://t.iss.one/ArtificialIntelligenceArticles

Nvidia researchers use deep learning to create super-slow motion videos
The researchers used Nvidia Tesla V100 GPUs and cuDNN-accelerated PyTorch deep learning framework to train their system on more than 11,000 videos shot at 240 frames-per-se

Transforming Standard Video Into Slow Motion with Machine Learning

https://news.developer.nvidia.com/transforming-standard-video-into-slow-motion-with-ai/

paper : https://arxiv.org/abs/1712.00080

https://t.iss.one/ArtificialIntelligenceArticles

Here is the June 19 issue of Computer Vision News

مصاحبه‌ی روزنامه‌ی CVPR2018 با خانم نسرین مصطفی‌زاده https://goo.gl/46kGnH @ArtificialIntelligenceArticles

CVPR 2018 best paper
بهترین مقاله در کنفرانس CVPR 2018
https://taskonomy.stanford.edu/ or
https://arxiv.org/abs/1804.08328 @ArtificialIntelligenceArticles

Best student paper award cvpr 2018 https://arxiv.org/abs/1801.01615 @ArtificialIntelligenceArticles

Researchers from NVIDIA just received the #CVPR2018 “Best Paper Honorable Mention Award,” for their paper, “SPLATNet: Sparse Lattice Networks for Point Cloud Processing."

paper : https://arxiv.org/abs/1802.08275

https://news.developer.nvidia.com/nvidia-splatnet-research-paper-wins-a-major-cvpr-2018-award/

https://t.iss.one/ArtificialIntelligenceArticles

CVPR 2018 Best Paper: Geometric #DeepLearning - CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
paper: https://arxiv.org/abs/1804.00874 @ArtificialIntelligenceArticles

Machine Learning Papers with Code - A searchable site that links machine learning papers on ArXiv with code on GitHub
https://paperswithcode.com/ @ArtificialIntelligenceArticles

Andrew Ng, Stanford - Stanford Medicine Big Data | Precision Health 2018 video : https://bit.ly/2tmW1D5 @ArtificialIntelligenceArticles

Machine Learning Open Source Projects of the Month (v.June 2018)
https://goo.gl/3wavFQ @ArtificialIntelligenceArticles

awesome project: turning youtube videos of soccer games into augmented reality scenes on a tabletop https://goo.gl/18ybiH @ArtificialIntelligenceArticles

OpenAI Five !

A team of five neural networks, OpenAI Five, has started to defeat amateur human teams (including a semi-pro team) at Dota 2 https://goo.gl/CjEq68 @ArtificialIntelligenceArticles

Super fun dataset and challenge : Fashion-Gen: The Generative Fashion Dataset and Challenge

More details about the Fashion-Gen dataset (Text to Image generation) and the challenge:

https://arxiv.org/abs/1806.08317

Participate in the challenge https://fashion-gen.com/ to win 2000$ and submit your paper to

https://sites.google.com/view/eccvfashion/

https://t.iss.one/ArtificialIntelligenceArticles

NIPS 2018: AI for Prosthetics Challenge

Reinforcement learning with musculoskeletal models

Objective : to bring deep reinforcement learning to solve problems in medicine

https://www.crowdai.org/challenges/nips-2018-ai-for-prosthetics-challenge

https://t.iss.one/ArtificialIntelligenceArticles

Meet the Godfather of AI(Geoffrey Hinton )

"It was just obvious to me that it was the right way to go. The brain's a big neural network. And so, it has to be that stuff like this can work, because it works in our brains. There's just never any doubt about that." - Geoffrey Hinton


A new interview with Geoffrey Hinton

video :

https://www.youtube.com/watch?v=l9RWTMNnvi4&feature=youtu.be

https://t.iss.one/ArtificialIntelligenceArticles

Turning Fortnite into PUBG with Deep Learning (CycleGAN)
https://towardsdatascience.com/turning-fortnite-into-pubg-with-deep-learning-cyclegan-2f9d339dcdb0 @ArtificialIntelligenceArticles

In a new paper, Google Research Scientists by Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy introduce a network that learns to colorize videos, automatically tracking objects without supervision and without requiring any labeled training data.

https://ai.googleblog.com/2018/06/self-supervised-tracking-via-video.html

Paper: https://arxiv.org/abs/1806.09594


https://t.iss.one/ArtificialIntelligenceArticles

Top 20 DeepLearning Papers, 2018 Edition https://goo.gl/aU19R3 @ArtificialIntelligenceArticles

Evaluating Feature Importance Estimates

Important work from @sarahookr, @doomie, @piekindermans, and @_beenkim on quantifying the extent to which various saliency methods *actually* find relevant portions of images.


https://arxiv.org/abs/1806.10758

https://t.iss.one/ArtificialIntelligenceArticles

Some ideas on how to train neural networks in a somewhat more biologically plausible way compared to end-to-end training with the backpropagation algorithm. Unsupervised Learning by Competing Hidden Units,
https://arxiv.org/abs/1806.10181

@ArtificialIntelligenceArticles

Scalable Deep Reinforcement Learning for Robotic Manipulation

https://ai.googleblog.com/2018/06/scalable-deep-reinforcement-learning.html

https://t.iss.one/ArtificialIntelligenceArticles