Top news of the week: 22.10.2020.

#ArtificialIntelligence #OpenCV #AI #DeepLearning #DataScience #Keras #MachineLearning #TensorFlow #Python

Research

On Oct 20, 2020
@glouppe shared
RT @DeepMind: Understanding quantum mechanics is a key to advancing chemistry and material science, but the math is notoriously difficult to handle. In a study published in @PhysRevResearch, our researchers show how deep learning can help tame these equations: https://t.co/44TGIGxKxe https://t.co/LxGc0koOmG
Open

FermiNet: Quantum Physics and Chemistry from First Principles

FermiNet: Quantum Physics and Chemistry from First Principles

We’ve developed a new neural network architecture, the Fermionic Neural Network or FermiNet, which is well-suited to modeling the quantum state of large collections of electrons, the ...

On Oct 19, 2020
@fchollet shared
RT @PyImageSearch: New tutorial!🚀 Intro to Adversarial Images and Attacks with #Keras, #TensorFlow, and #DeepLearning: - Learn about image adversaries - How to construct them - Fool CNNs https://t.co/n5kRivcXge 👍 #Python #MachineLearning #ArtificialIntelligence #AI #DataScience #OpenCV https://t.co/NrVpvIn7Ih
Open

Adversarial images and attacks with Keras and TensorFlow

Adversarial images and attacks with Keras and TensorFlow

In this tutorial, you will learn how to break deep learning models using image-based adversarial attacks. We will implement our adversarial attacks using the Keras and TensorFlow deep ...

On Oct 19, 2020
@adriancolyer shared
Here’s the corrected link for today’s morning paper: https://t.co/tpXMqdmHks thanks to all who pointed out the mistake!
Open

The case for a learned sorting algorithm

The case for a learned sorting algorithm

The resulting performance depends on the quality of the model predictions, a higher quality model leads to fewer collisions, and fewer out-of-order items to be patched in the …

On Oct 17, 2020
@shakir_za shared
RT @mmitchell_ai: Creating model card with scikit-learn. I didn't even know this was happening!! THE IDEA IS GROWING. https://t.co/gdTAp8Jul8
Open

How to create and deploy a model card in the cloud with Scikit-Learn

How to create and deploy a model card in the cloud with Scikit-Learn

How to Create and Deploy a Model Card in the Cloud with Scikit-Learn

On Oct 19, 2020
@mxlearn shared
[R] [NeurIPS 2020] SMYRF: Efficient Attention using Asymmetric Clustering https://t.co/BPuC7qpyHf
Open
On Oct 20, 2020
@hardmaru shared
RT @pfau: A big day for the FermiNet! We just put out a blog post on our recent @PhysRevResearch article, as well as open-sourcing the code: https://t.co/j0I9Zj1H65 https://t.co/p2EQxTgAS8
Open

FermiNet: Fermionic Neural Networks

FermiNet: Fermionic Neural Networks

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations - deepmind/ferminet

On Oct 20, 2020
@shakir_za shared
RT @OleWinther1: 3 year postdoc in machine learning methods development for multi-scale modelling of battery materials https://t.co/iGwczWxskD
Open

Postdoc in Machine Learning Model Development focused on Multiscale Materials Data

Postdoc in Machine Learning Model Development focused on Multiscale Materials Data

Apply online The section of Cognitive Systems at DTU Compute, Technical University of Denmark (DTU) is looking for outstanding candidates for a 3-year postdoc position within the …

On Oct 17, 2020
@stanfordnlp shared
RT @kennybastani: I did a deep analysis of Russian Twitter trolls and disinformation to conclude on foreign election interference on social media using @ApachePinot and @StanfordNLP. https://t.co/hXjnyWPO71
Open

A Deep Analysis of Russian Trolls with Apache Pinot and Superset

A Deep Analysis of Russian Trolls with Apache Pinot and Superset

The history behind Russian disinformation is a dense and continuously evolving subject. The world’s best research hasn’t seemed to hit the…