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Research into machine learning and reasoning
Often involving neural networks, graphs and coffee
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Keeping up with the intelligence explosion
Keeping up with the intelligence explosion
We’re on the cusp of the total intelligence in the world rapidly increasing. With both the proliferation of deep learning and AGI on the…
David Mack
Feb 16, 2021
What I learned from spending a year as a solo machine learning researcher
What I learned from spending a year as a solo machine learning rese...
I recently found myself needing a new challenge in my life. Bored of what my day-job had become, I stuck out on my own to pursue machine…
David Mack
Aug 13, 2019
Language could be an important part of artificial general intelligence and synthetic consciousness
Language could be an important part of artificial general intellige...
In talking with friends about machine intelligence, I realized that I’ve been growing a web of beliefs over the past few years that are…
David Mack
Jul 28, 2019
Machine learning on Graphs course: Pre-requisites
Machine learning on Graphs course: Pre-requisites
(This is part of a four part course hosted by Octavian.ai this summer)
David Mack
Apr 18, 2019
How to use the Learning Rate Finder in TensorFlow
How to use the Learning Rate Finder in TensorFlow
When working with neural networks, every data scientist must make an important choice: the learning rate. If you have the wrong learning…
Ashwath Salimath
Apr 9, 2019
Calls for research
Calls for research
During our work at Octavian, we’ve come across a range of problems that we’d love to see more work focussed on. We’re sharing this list…
David Mack
Mar 30, 2019
A simple explanation of the Inception Score
A simple explanation of the Inception Score
The Inception score (IS) is a popular metric for judging the image outputs of Generative Adversarial Networks (GANs).
David Mack
Mar 6, 2019
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