Intuition Machine

Deep Learning Patterns, Methodology and Strategy

22,844 Followers
Editors
Carlos E. Perez

Author of Artificial Intuition and the Deep Learning Playbook — linkedin.com/in/ceperez

Saurabh Mishra

Investment & Management Strategist | Economist | ML & AI Scientist | Reliability Engineer | Advisor to Startups and VC/Hedge Funds

Latest Posts

The Paradigm Shift of Self-Supervised Learning

“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and…

AI Safety, Leaking Abstractions and Boeing’s 737 Max 8

Present day Air travel is one of the safest modes of travel. Statistics from the US Department of Transportation show that from the period…

A New Theory of Information Emergence

The Constructor Theory of Information (Deutsch and Marletto) is one of the more compelling explanations of the nature of information that…

What Constructor Theory reveals about Deep Learning

What is an explanation? I’ve been beating around the bush around this for quite some time. Peter Sweeny wrote an article about AI…

The Curious Case of AGI without a Body

Previously, I explained the difference between biological evolutionary designs and human technological designs. Biological designs are…

Is Massively Unsupervised Language Learning Dangerous?

Ilya Stuskever, who leads OpenAI research, has a simple theory about how to reach AGI. He argues that all that is needed is massively…

Why Randomness should be Embraced and Not Feared

Previously I wrote about how the design strategy of biology differs from the design strategy of human technology. The difference can be…

Recombinant Programming: A New Kind of Programming

I want to discuss with you today four different kinds of programming. This framework should help you better understand the uniqueness of…

How Biological Design Differs from Human Design

Here is a very insightful question you should ask yourself, why hasn’t natural evolution invented the wheel? The reason why this is…

10 Predictions for Deep Learning in 2019

The year 2018 is ending and its now time for a new set of Deep Learning predictions for 2019. Here are my previous predictions and…

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