Google Patents "Generating output sequences from input sequences using neural networks"
https://www.freepatentsonline.com/10402719.html

Open-Unmix for Music Separation

📜Paper: https://joss.theoj.org/papers/571753bc54c5d6dd36382c3d801de41d
🔊Demo: https://open.unmix.app
🔥PyTorch: https://github.com/sigsep/open-unmix-pytorch
🔻NNabla: https://github.com/sigsep/open-unmix-nnabla
🔶TF2: t.b.a.
📓Colab: https://colab.research.google.com/drive/1mijF0zGWxN-KaxTnd0q6hayAlrID5fEQ

A deep learning system for differential diagnosis of skin diseases

Liu et al.

Paper: https://arxiv.org/abs/1909.05382

Blog : https://ai.googleblog.com/2019/09/using-deep-learning-to-inform.html

#deeplearning #machinelearning #healthcare

ICYMI from CVPR 2019: 3D human pose estimation in video with temporal convolutions and semi-supervised training

https://www.profillic.com/paper/arxiv:1811.11742

The authors (Facebook AI researchers) demonstrate that 3D poses in a video can be effectively estimated with a fully convolutional model based on dilated temporal convolutions over 2D keypoints.

Can you classify two class circle data using neural network with only two neurons?

https://arxiv.org/abs/1901.00109

The Power and Limits of Deep Learning" with Yann LeCun

https://videoken.com/embed?videoID=zikdDOzOpxY&fbclid=IwAR3RKhlLVhJBz_uyGHTshJjgqrC5lldP0wwv7Z3eWsDMk9SY9_qltA-IrzI

Bayes' theorem explained with examples and implications for life.

Link: https://www.youtube.com/watch?v=R13BD8qKeTg

An NLP model that writes its own arXiv paper abstract?! Check out this great abstractive neural document summarization work by Element AI researchers Sandeep Subramanian, Raymond Li, Jonathan Pilault and Christopher Pal:

https://arxiv.org/abs/1909.03186

CvxNets: Learnable Convex Decomposition by Geoffrey Hinton
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz,, Andrea Tagliasacchi : https://arxiv.org/abs/1909.05736
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles

GE Healthcare wins first FDA clearance for A.I. powered X-ray system

https://www.marktechpost.com/2019/09/12/ge-healthcare-wins-first-fda-clearance-for-a-i-powered-x-ray-system/

Edge-Informed Single Image Super-Resolution. https://arxiv.org/abs/1909.05305

Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple... https://arxiv.org/abs/1909.04760

Machine Learning Software Senior or Staff Engineer
https://ai-jobs.net/job/machine-learning-software-senior-or-staff-engineer/

What Kind of Language Is Hard to Language-Model?
Mielke et al.: https://arxiv.org/abs/1906.04726
#ArtificialIntelligence #MachineLearning #NLP

Air Force releases 2019 Artificial Intelligence Strategy
Secretary of the Air Force Public Affairs : https://www.af.mil/Portals/1/documents/5/USAF-AI-Annex-to-DoD-AI-Strategy.pdf
#ArtificialIntelligence #Defense #Strategy

Memorize-Generalize: An online algorithm for learning higher-order sequential structure with cloned Hidden Markov Models
Rikhye et al.: https://www.biorxiv.org/content/10.1101/764456v1
#Biology #Neuroscience #HiddenMarkovModels

Unsupervised version of capsule networks
https://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair and Chelsea Finn
Paper: https://arxiv.org/abs/1909.05829
Code: https://github.com/google-research/google-research/tree/master/hierarchical_foresight
#MachineLearning #ArtificialIntelligence #Robotics #ReinforcementLearning

PyTorch implementations of deep reinforcement learning algorithms and environments
GitHub, by Petros Christodoulou : https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
#pytorch #reinforcementlearning #deeplearning