Editorial

Thoughts From Your Humble Curators

This week, we share with you the following:

  • Google's Edge TPU
  • Dr Rachel Thomas' series on AutoML and what ML practitioners actually do
  • A deeper look of the new connectomics work by Google

Enjoy!


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 162,000+ members and host an occasional "office hour" on YouTube. To help defray our publishing costs, you may donate via link. Or you can donate by sending Eth to this address: 0xEB44F762c58Da2200957b5cc2C04473F609eAA65.

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Blog Posts

Dr. Rachel Thomas' Series on AutoML (and HumanML)

In AIDL Weekly, we usually share links from a range of sources. But this time we choose to share a series of links which are all written by Dr. Rachel Thomas at fast.ai. Reasons: First of all, Dr. Thomas covers what we ML practitioners care about - what do we really do? What are our daily activities? We found that this is an important yet not well-discussed topic. We are often asked how do we spend our time and why activities such as data cleaning and experimental design are part of our daily jobs. Dr. Thomas' Series Part I on "What do machine learning practitioners actually do?" answers all these question nice and clear. And it is suitable for all ML practitioners to read.

Second of all, Dr. Thomas dives into the what we called neural architecture search. Notable example of such search could be Google's AutoML. As you know, outlets have been sensationalizing how much AI can replace humans now. Dr. Thomas delve deep into the neural architecture search in "An Opinionated Introduction to AutoML and Neural Architecture Search" and she commented on AutoML in "Google's AutoML: Cutting Through the Hype". We found both pieces illuminating.

You can find the links here:

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Paper/Thesis Review

About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 163,000+ members and host an occasional "office hour" on YouTube. To help defray our publishing costs, you may donate via link. Or you can donate by sending Eth to this address: 0xEB44F762c58Da2200957b5cc2C04473F609eAA65.

Join our community for real-time discussions here: Expertify

Artificial Intelligence and Deep Learning Weekly