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Intuition Machine - Issue #53

Welcome to the weekly newsletter of Deep Learning AI and Blockchain Convergence. We hope that this ne
Intuition Machine
Intuition Machine - Issue #53
By Intuition Machine  • Issue #53 • View online
Welcome to the weekly newsletter of Deep Learning AI and Blockchain Convergence. We hope that this newsletter will appeal to all those interested in Deep Learning developments and its relationship to decentralized consensus architectures.  

Artificial Intuition : The Improbable Deep Learning Revolution
I challenge you to find a field as interesting and exciting as Deep Learning. 
gumroad.com  •  Share
The Building Blocks of Interpretability
The Building Blocks of Interpretability
Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them – and the rich structure of this combinatorial space.
distill.pub  •  Share
Investigating Human Priors for Playing Video Games
Investigating Human Priors for Playing Video Games
Human gameplay on game version without any object priors Human gameplay on original game version
rach0012.github.io  •  Share
Reptile: A Scalable Meta-Learning Algorithm
Reptile: A Scalable Meta-Learning Algorithm
We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. 
blog.openai.com  •  Share
The new open ecosystem for interchangeable AI models
onnx.ai  •  Share
The Great AI Paradox - MIT Technology Review
The Great AI Paradox - MIT Technology Review
Don’t worry about supersmart AI eliminating all the jobs. That’s just a distraction from the problems even relatively dumb computers are causing.
www.technologyreview.com  •  Share
Educational resources for machine learning
developers.google.com  •  Share
Center for Humane Technology
Center for Humane Technology
The Center for Humane Technology is a world-class team of former tech
insiders and CEOs who are advancing thoughtful solutions to change the
culture, business incentives, design techniques, and organizational
structures driving how technology hijacks our brains.
humanetech.com  •  Share
AI Just Learned How to Boost the Brain's Memory | WIRED
AI Just Learned How to Boost the Brain's Memory | WIRED
If we can’t understand our own brains, maybe the machines can do it for us.
www.wired.com  •  Share
Pandas on Ray - RISE Lab
Pandas on Ray - RISE Lab
Pandas on Ray accelerates Pandas queries by 4x on an 8-core machine, only requiring users to change a single line of code in their notebooks.
rise.cs.berkeley.edu  •  Share
Ubisoft's AI in Far Cry 5 and Watch Dogs could change gaming | WIRED UK
Ubisoft's AI in Far Cry 5 and Watch Dogs could change gaming | WIRED UK
The gaming company’s Commit Assistant AI tool has been trained to spot when programmers are about to make a mistake
www.wired.co.uk  •  Share
Low-cost EEG can now be used to reconstruct images of what you see | KurzweilAI
Low-cost EEG can now be used to reconstruct images of what you see | KurzweilAI
(left:) Test image displayed on computer monitor. (right:) Image captured by EEG and decoded. (credit: Dan Nemrodov et al./eNeuro) A new technique developed
www.kurzweilai.net  •  Share
Notes from Coursera Deep Learning courses by Andrew Ng
Notes from Coursera Deep Learning courses by Andrew Ng
My notes from the excellent Coursera specialization by Andrew Ng
www.slideshare.net  •  Share
Several approaches to metalearning have emerged, including those based on Bayesian optimization, gradient descent, reinforcement learning, and evolutionary computation. The symposium presents an overview of these approaches, given by the researchers who developed them. 
metalearning-symposium.ml  •  Share
A Less-Artificial Intelligence - MIT Technology Review
A Less-Artificial Intelligence - MIT Technology Review
Studying 70,000 mouse neurons could help Andreas Tolias build smarter AI.
www.technologyreview.com  •  Share
Low-precision computation has been gaining a lot of traction in machine learning. 
dawn.cs.stanford.edu  •  Share
GitHub - onnx/onnxmltools: ONNXMLTools enables conversion of models to ONNX. Currently supports CoreML and SciKit
GitHub - onnx/onnxmltools: ONNXMLTools enables conversion of models to ONNX. Currently supports CoreML and SciKit
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 80 million projects.
github.com  •  Share
Queryparser, an Open Source Tool for Parsing and Analyzing SQL
Queryparser, an Open Source Tool for Parsing and Analyzing SQL
Written in Haskell, Queryparser is Uber Engineering’s open source tool for parsing and analyzing SQL queries that makes it easy to identify foreign-key relationships in large data warehouses.
eng.uber.com  •  Share
“Whatever you are studying right now if you are not getting up to speed on deep learning, neural networks, etc., you lose,” says Mark Cuban.
“We are going through the process where software will automate software, automation will automate automation.”
deeplearningplaybook.com  •  Share
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