The Brain – Inspiration for Modelling Computation

Deakin University

The Brain – Inspiration for Modelling Computation

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This post is the first of the series HTM – Moving Towards Real Artificial Intelligence that will explore the HTM approach to create artificial intelligent machines by mimicking the processes that govern human learning.   The Brain – Inspiration for Modelling Computation by Nicola Pastorello   In the past few years, artificial intelligence has once again become a…

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Taming the Wild West of AI Project Management

  Taming the Wild West of Project Management by Shannon Pace   Once Upon a Time in the Lab Our ability to process textual data has improved rapidly with the introduction of language models such as word2vec and GloVe, which enable symbolic text to be transformed into a more flexible numeric representation. Yet, the nature of…

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Scaling Your Services With AWS: Part 1

  Scaling Your Services With AWS: Part 1 by Stan Kowalczyk   If you’ve ever developed something and put it online, you’ve probably thought about scaling at some point. In this blog series we’ll explore scaling in AWS using EC2 instances (virtual machines). This is the first part of the series, and in this post we’ll…

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Implementation Details Are Coming to Kill Your Experiment

  Implementation Details Are Coming to Kill Your Experiment by Maryna Vlasiuk   Keeping Your Sanity When it comes to data science projects, reproducibility is always nice to have, not only for the sake of science, but also to preserve one’s sanity – revisited experiments should make sense rather than leave one baffled. Moreover, if one intends…

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Data Management for Data Scientists

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Data Management for Data Scientists by Shannon Pace   Lessons from Software Engineering Although the field of data science is rapidly growing in popularity, there’s nothing new about data. Even the humblest application in the earliest days of the software engineering field existed purely to represent, search and transform data. Ever since, the ways of…

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