Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. https://arxiv.org/abs/1911.05075

Memory Augmented Recursive Neural Networks
Arabshahi et al.: https://arxiv.org/abs/1911.01545
hashtag#ArtificialIntelligence hashtag#MachineLearning hashtag#NeuralNetworks

Geometry-Aware Neural Rendering. https://arxiv.org/abs/1911.04554

Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine. https://arxiv.org/abs/1911.04542

A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Trac... https://arxiv.org/abs/1911.04469

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Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
Wu et al.: https://arxiv.org/abs/1910.14667
#Cryptography #Security #MachineLearning

Is deep learning progress more evolution than engineering? And why neuroscience needs real science of deep learning. Hear counterpoint talk at the National Academy symposium on the "science of deep learning"

https://www.youtube.com/watch?time_continue=14&v=GgzRdQ5nm0U&feature=emb_title

Yes! This follows from the argument that the description length of the brain's wiring diagram must be short, because the wiring rules must pass through a "genomic bottleneck" each generation. The rules must be simple

https://www.biorxiv.org/content/10.1101/582643v1

Intel unveils its first chips built for AI in the cloud

Intel launching two #AI-oriented chips such as #NNPT1000 & #NNPI1000, the first #ASICs designed explicitly for #AI in the #cloud & a next-gen #Movidius Vision Processing unit will significantly bolster performance of machines working on AI platforms. https://www.engadget.com/2019/11/12/intel-nervana-chips-for-ai-in-cloud/

https://t.iss.one/ArtificialIntelligenceArticles

Stacked Capsule Autoencoders
This is an official Tensorflow implementation of the Stacked Capsule Autoencoder (SCAE), which was introduced in the in the following paper: A. R. Kosiorek, Sara Sabour, Y. W. Teh, and Geoffrey E. Hinton, "Stacked Capsule Autoencoders".

Author: Adam R. Kosiorek, Oxford Robotics Institute & Department of Statistics, University of Oxford
Email: adamk(at)robots.ox.ac.uk

https://github.com/google-research/google-research/tree/master/stacked_capsule_autoencoders

Stats 100 Final Cheat Sheets -Fas Harvard
Download: https://people.fas.harvard.edu/~mparzen/stat100/Stat%20100%20Final%20Cheat%20Sheets%20-%20Google%20Docs%20(2).pdf

DanNet
DanNet, the CUDA CNN of Dan Ciresan in Jurgen Schmidhuber's team, won 4 image recognition challenges prior to AlexNet : https://www.reddit.com/r/MachineLearning/comments/dwnuwh/d_dannet_the_cuda_cnn_of_dan_ciresan_in_jurgen/
#ArtificialIntelligence #DeepLearning #MachineLearning

Elon Musk Said His AI Brain Chips Company Could 'Solve' Autism and Schizophrenia

https://www.businessinsider.com/elon-musk-said-neuralink-could-solve-autism-and-schizophrenia-2019-11

SO(8) Supergravity and the Magic of Machine Learning
Comsa et al.: https://arxiv.org/abs/1906.00207
#ArtificialIntelligence #DeepLearning #Physics

This PyTorch Library ‘Kaolin’ is Accelerating 3D Deep Learning Research

Github: https://github.com/NVIDIAGameWorks/kaolin
Paper: https://arxiv.org/abs/1911.05063