AIDL Weekly Issue 71 - Humans vs OpenAI Five

Artificial Intelligence and Deep Learning Weekly - Issue 71

Editorial

Thoughts From Your Humble Curators

This week we bring you the story of the first match between Open AI vs Humans in a 5v5 battle. Unlike 1v1, 5v5 gameplays feature collaboration between human experts, and currently it is unknown if computer agents can learn these complex interaction and strategy by itself.

As always, if you like our newsletter, feel free to share it with your friends/colleagues.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 169,000+ 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

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Deals

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Blog Posts





About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 169,000+ 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

 

AIDL Weekly Issue #68 - Dr. Rachel Thomas on AutoML and What ML Practitioners Actually do.

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.

Join our community for real-time discussions here - Expertify

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News

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:

Artificial Intelligence and Deep Learning Weekly





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

AIDL Weekly Issue 67 - AI in VC investing and World Cup

Editorial

Thoughts From Your Humble Curators

This week we tell you the story of how Google's Venture is using ML to invest, and how AI is used in World Cup 2018.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 159,000+ 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

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Member's Question

How to build a ML portfolio if I don't have a Supercomputer?

Q: (Excerpt) I am a college student. I have gone through a lot of machine learning materials (.....) But at times it feels pointless because I feel like I never really will have the ability to train these models. Can anyone give me a guide for building a machine learning portfolio?

A: Very good question. Just on the part about experience in training : for most MLE positions, most employers would examine your analytical capability, rather than you experience in using machines. Latter matters but it is your thinking and problem-solving skill which could attract good jobs the most.

If you do want to accumulate good experience in ML training while you are jobless, here are couple of means I found useful:

1, focus on algorithms which allow you to train model with CPU or low-end GPU. e.g. libsvm, liblinear are rather fast package which you can use to train good models.

2, work on smaller problems. Indeed, large problem often entails more difficult issues. But often 95% of ML issues also occur in small problems. So get yourself to be very familiar with them, and always try to generalize them in your thought. Also try to optimize your program in small problem. Those experience often transfer to bigger problem.

3, work with groups which has slightly more computation than you. So it could be your local interest group, it could be an academic group in university, it could be you just save a little money to buy a cheap card such as GTX 1060 etc.

But don't give up. One thing to share: as sorta an old-timer, one of us (Arthur) started his first HMM experiment with Pentium 500, and learn deep learning few years ago with a 10 years old Dell machine. (It took 3 days to train convnet model for Mnist though, lmao. ) So things are possible, you just have to come up with solutions creatively.

Artificial Intelligence and Deep Learning Weekly

About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 159,000+ 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

AIDL Weekly Issue #66 - Uber Lays Off 100 SDC operators

Editorial

Thoughts From Your Humble Curators

We have a BIG announcement this week. We launched Expertify, our messaging web app, for our 155,000 A.I. community members to engage and discuss in real-time.

Hope you can join and try it out.

In other news, we look at two technical stories this week:

  • How DeepMind is measuring abstract reasoning, and actually what are the abstract reasoning we are talking about?
  • The new Facebook Talk the Walk task - how would AI guide a tourist through the New York City?

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 155,000+ 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

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Open Source


About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 156,000+ 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

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AIDL Weekly Issue #65 - Machines! Capture The Flag!

Editorial

Thoughts From Your Humble Curators

This week we cover Adrian Rosebrock's interview with François Chollet. We also discuss Ben Evans' article on "Ways of Thinking About Machine Learning" and how DeepMind now can play Quake III's "Capture The Flag" at human level.

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 155,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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Open Source

Contemporary Classic

About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 155,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly

 

AIDL Weekly #64 - The Medical Brain

Editorial

Thoughts From Your Humble Curators

We take a closer look of Google Medical Brain this week. In particular, we look at their recent paper on predicting in-hospital mortality (and more) based on EHR.

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 150,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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News



Blog Posts

Paper/Thesis Review

Humor

About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 150,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly

AIDL Weekly Issue #63 - Predicting Winner of World Cup 2018

Editorial

Thoughts From Your Humble Curators

Our issue this week is mostly technical:

  • How to predict the winner of World Cup 2018?
  • How to use a pretrained model in text classification?
  • How to build a custom face recognition dataset?

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 149,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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Blog Posts





About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 149,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly

 

AIDL Weekly Issue #62 - AI at Google and Apple

Editorial

Thoughts From Your Humble Curators

This week we look at AI development of two industry giants: Google and Apple. Google recently stopped working on project Maven, a high-profile government drone project, and this week we see CEO publish "AI at Google: our principles" to create values on how Google should use AI. See our coverage of the piece.

On the other hand, Apple, another powerhouse in the commercial AI, is now trying to establish her presence. Would she succeed? We have two pieces this week for you to think and ponder.

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues.


Also check out our sponsor this week: CVPR Daily, published by RSIP Vision?


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 147,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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About Us

Announcement: About AIDL Posting

From Jun 10, 2018, all posts at the AIDL group would be first approved by admins/mods before they can appear in the main forum, or we call it the "pre-approval" system. This changes our long-time policy of "post-approval", i.e. we allowed anyone to post but only remove the post afterward. Read below for further discussion.

Details: Since AIDL's inception 2 years ago, we have adopted a posting system which allows members to post anything, but only close/remove posts afterward. Unfortunately, our surprisingly rapid growth made this system unscalable. It's getting harder for admins/mods to manually remove all spammy commercial or irrelevant posts from the forum. Furthermore, since posts would pop up on members feed, these irrelevant posts has been hurting our group's reputation as an informative news source.

Perhaps more importantly, we want to listen to our members: Many members voice their concerns of repetitive beginner posts and spams, there are also more told us that they decide to leave the group because posts have low quality.

Our change will make all posts go through admin first before appearing in the main forum. We will still keep general discussion, but they will only appear in several designated threads from the forum.

If you left AIDL because of spam, note that we are taking steps to improve post quality. We hope you like our new policy. If you have any questions, feel free to talk with admins/mods.

Artificial Intelligence and Deep Learning Weekly


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 147,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly

 

Issue 60 - Teach Machines Cause and Effect

Editorial

Thoughts From Your Humble Curators

This week we take a closer look at Prof. Judea Pearl's interview with Quanta Magazine on how he thinks about the current limitations of machine learning. You can find out in our Blog section.

To those in the U.S., happy Memorial Day weekend!

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues.


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 143,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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News


Pulse: Intel

Two pieces of news about the new Intel AI group, which released both an NLP deep learning library and the Nervana chip for accelerated AI training. By most measures, these products are not ground-breaking. However, Intel continues to chip away into the AI space.

Artificial Intelligence and Deep Learning Weekly


Blog Posts



About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 143,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly

 

Issue 59 - Google I/O 2018, in particular, Duplex

Editorial

Thoughts From Your Humble Curators

This week we cover Google I/O. In particular, Google Duplex has some surprising backlashes. Check out our fact-checking section.

As always, if you like our newsletter, feel free to subscribe and forward it to your colleagues!


This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 140,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

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AI Summary of Google I/O 2018

Google I/O, just like last year, kept churning out interesting products:

  • Duplex, a dialogue system which sounds very close to humans with natural understanding capability,
  • Smart Compose - automatic suggestions based on machine learning,
  • TPU 3.0 - TPU 3.0, yet another upgrade of Google's revolutionary ASIC-based neural network chip,
  • Google ML Kit - Google ML Kit, more a new interface to add Google AI product to apps.

Duplex has some surprising backlashes after Google I/O. Some of these, in our view, could be misunderstanding in technicalities. See our fact-checking section on our analysis. In particular, as impressive as it is, Duplex is not AGI.

Artificial Intelligence and Deep Learning Weekly

Factchecking

Blog Posts

Video

About Us

This newsletter is published by Waikit Lau and Arthur Chan. We also run Facebook's most active A.I. group with 140,000+ 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 with this iOS app here: https://itunes.apple.com/us/app/expertify/id969850760

Artificial Intelligence and Deep Learning Weekly