NEP 18 — A dispatch mechanism for NumPy’s high level array functions

Abstact: "We propose the array_function protocol, to allow arguments of NumPy functions to define how that function operates on them. This will allow using NumPy as a high level API for efficient multi-dimensional array operations, even with array implementations that differ greatly from numpy.ndarray."

https://www.numpy.org/neps/nep-0018-array-function-protocol.html
#numpy

These enhancements enable us to process large 3D dark matter distribution and predict the cosmological parameters ΩM, σ8, and ns with unprecedented accuracy arxiv.org/abs/1808.04728

30 Amazing Machine Learning Projects https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7 @ArtificialIntelligenceArticles

Ultimate guide and resources for Data science 2019

https://medium.com/@purnasaigudikandula/ultimate-guide-and-resources-for-data-science-2019-f663f9384fc7 @ArtificialIntelligenceArticles

CVPR Paper Controversy; ML Community Reviews Peer Review
https://medium.com/syncedreview/cvpr-paper-controversy-ml-community-reviews-peer-review-79bf49eb0547 @ArtificialIntelligenceArticles

TensorFlow.js Examples

GitHub repository containing examples in TensorFlow.js: https://github.com/tensorflow/tfjs-examples

#artificialintelligence #deeplearning #machinelearning #tensorflow

Using Machine Learning to Predict the Evolution of Physics Research

paper : https://arxiv.org/abs/1810.12116 @ArtificialIntelligenceArticles

New research group at Oxford Comp Sci!

Oxford Applied and Theoretical Machine Learning Group (OATML): https://oatml.cs.ox.ac.uk/

#artificialintelligence #bigdata #machinelearning #neuralnetworks

Efficiently measuring a quantum device using machine learning

Lennon et al.: https://arxiv.org/abs/1810.10042

#ArtificialInteligence #QuantumPhysics #Research #Physics #MachineLearning

Reinforcement Learning Will Be 2019's Biggest Trend In Data Science 😊🎉

Forbes: https://www.forbes.com/sites/quora/2018/10/26/reinforcement-learning-will-be-2019s-biggest-trend-in-data-science/#73d3

NVIDIA researchers developed a #GPU-accelerated reinforcement learning simulator that can teach a virtual robot human-like tasks in record time

https://goo.gl/uToK8K @ArtificialIntelligenceArticles

There's a new #nips2018 D&I co-chair's webpage
With child care diversity workshops and other affinity group information; accessibility and other inclusion notices https://nips2018inclusion.weebly.com

Artificial intelligence bot trained to recognize galaxies
https://www.news.uwa.edu.au/2018103111075/research/artificial-intelligence-bot-trained-recognise-galaxies @ArtificialIntelligenceArticles

Artificial intelligence bot trained to recognize galaxies


paper : https://academic.oup.com/mnras/article-abstract/482/1/1211/5142869

Github: https://github.com/chenwuperth/rgz_rcnn

@ArtificialIntelligenceArticles

Machine learning & artificial intelligence in the quantum domain - An overview of recent advances
paper : https://arxiv.org/abs/1709.02779 @ArtificialIntelligenceArticles

Web service makes big data available to neuroscientists
https://www.nature.com/articles/d41586-018-07195-2 @ArtificialIntelligenceArticles

Preprint: Atlases of cognition with large-scale brain mapping
https://hal.inria.fr/hal-01908189 @ArtificialIntelligenceArticles

GitXiv — Collaborative Open Computer Science

https://www.gitxiv.com/

"GitXiv is a space to share links to open computer science projects. Countless Github and arXiv links are floating around the web. Its hard to keep track of these gems. GitXiv attempts to solve this problem by offering a collaboratively curated feed of projects. Each project is conveniently presented as arXiv + Github + Links + Discussion. Users can submit their findings and let the community rank and discuss it. A regular newsletter makes it easy to stay up-to-date on recent advancements. It´s free and open."

@ArtificialIntelligenceArticles

Spectral Signatures in [Neural Net] Backdoor Attacks

paper: https://arxiv.org/abs/1811.00636