DeepMindAI: Today we're releasing a large-scale extendable dataset of mathematical questions, for training (and evaluating the abilities of) neural models that can reason algebraically.

Paper: https://arxiv.org/abs/1904.01557 Code and data : https://github.com/deepmind/mathematics_dataset

Learning Discrete Structures for Graph Neural Networks

Franceschi et al.: https://arxiv.org/abs/1903.11960

#DeepLearning #MachineLearning #NeuralNetworks

Climate change: How can AI help?
Applying machine learning to address the problems of climate change.
Call For Submissions: https://www.climatechange.ai
#artificialintelligence #climatechange #machinelearning

HoloGAN: Unsupervised learning of 3D representations from natural images.
Another demonstration that hardcoding prior knowledge about the world is generally a good idea.
Blog: https://www.monkeyoverflow.com/#/hologan-unsupervised-learning-of-3d-representations-from-natural-images/
Paper: https://arxiv.org/abs/1904.01326

A review of INFINITE POWERS in nature: From counting with stones to artificial intelligence: the story of calculus. Anil Ananthaswamy savours a history of the mathematics used to track changes in everything from DNA to machine learning.

https://www.nature.com/articles/d41586-019-01038-4

Father of GANs Ian Goodfellow @goodfellow_ian Splits Google For Apple


https://syncedreview.com/2019/04/04/father-of-gans-ian-goodfellow-splits-google-for-apple/

A new crop of call for proposals for research awards in NLP has just been released by Facebook!

https://research.fb.com/programs/research-awards/

Launching New #free courses in Data Science - Start your journey and join the next generation of data scientists.

Course 1 : Introduction to Neural Networks
Link : https://buff.ly/2VvfNIU

Course 2 : Introduction to Natural Language Processing
Link : https://buff.ly/2VsA2Xl

Course 3 : A comprehensive Learning Path to become Data Scientist in 2019
Link : https://buff.ly/2So4krY

Course 4 : A comprehensive path for learning Deep Learning in 2019
Link : https://buff.ly/2ty7D5Y

Course 5 : Twitter Sentiments Analysis
Link : https://buff.ly/2EqLvAD

Course 6 : Creating Time Series Forecast using Python
Link : https://courses.analyticsvidhya.com/courses/creating-time-series-forecast-using-python/

Course 7 : Loan Prediction Practice problem
Link : https://courses.analyticsvidhya.com/courses/loan-prediction-practice-problem-using-python/

Course 8 : Big mart Sales Problem using R
Link : courses.analyticsvidhya.com/courses/big-mart-sales-prediction-using-r/

Next generation of phone will support up to 4.6 Gbs of data transfer on 5G. At this speed #AI #Edge computing may become irrelevant. You may want to create cloud solutions to stay on the edge.
https://youtu.be/wnck3d-zLdc

Neural Networks for Machine Learning by Geoffrey Hinton @geoffreyhinton (Coursera 2013)

Video Lectures:

https://www.youtube.com/watch?v=2fRnHVVLf1Y&list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0 …


#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning

Feature mapping in a quantum state space. "It remains to be seen whether the way in which Havlíček et al. represent data in quantum space is actually useful for real-world machine-learning applications."https://www.nature.com/articles/d41586-019-00771-0

RI Seminar: Amir Barati Farimani : Creative Robots with Deep Reinforcement Learning


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

CS230 Deep Learning
Stanford's CS230 with lecture videos and more

Course Website:https://onlinehub.stanford.edu/cs230

"Inferring the function performed by a recurrent neural network"
Chalk et al.: https://www.biorxiv.org/content/biorxiv/early/2019/04/05/598086.full.pdf
#artificialintelligence #deeplearning #machinelearning

What's the best way to deploy Google BERT

(https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html

Yoshua Bengio On AI Priors and Challenges
In Synced. Author: Tingting Cao | Editor: Michael Sarazen : https://syncedreview.com/2019/02/16/yoshua-bengio-on-ai-priors-and-challenges/
#ArtificialIntelligence #DeepLearning #MachineLearning

Project Jupyter is a huge hit in data science, but it has not yet found widespread adoption in robotics. Today, we are releasing the first version of jupyter-ros, a collection of Jupyter interactive widgets inspired by Qt and RViz, to bring their features to the Jupyter ecosystem. This may be the right time for Jupyter-based developer tools, as cloud robotics is taking off."
Blog by Wolf Vollprecht:

https://blog.jupyter.org/ros-jupyter-b7e82b5e1202


#Robotics #Python #RobotOperatingSystem #Visualization #CloudRobotics

The power of deeper networks for expressing natural functions
David Rolnick & Max Tegmark: https://arxiv.org/abs/1705.05502
#DeepLearning #MachineLearning #NeuralComputing

Music Transformer


arxiv.org/abs/1809.04281

#DeepLearning #Transformer #MachineLearning #SpeechProcessing #Music