AI/ML

Artificial Intelligence Weekly – Artificial Intelligence News #80 – Jul 12th 2018

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In the News

High-skilled white-collar work? Machines can do that, too

Tales of companies that have successfully used algorithmic solutions to perform design or purchasing tasks in the fashion industry

nytimes.com

The rise of 'pseudo-AI': how tech firms quietly use humans to do bots' work

Using what one expert calls a ‘Wizard of Oz technique’, some companies keep their reliance on humans a secret from investors

theguardian.com

Inside China’s dystopian dreams

A.I., Shame and Lots of Cameras

nytimes.com

Learning

Lyft — from shallow to deep learning in fraud

A research scientist in Lyft’s Fraud Team shares his journey improving fraud detection services. Namely how they progressively moved from a simple logistic regression to more complex approaches, along with hurdles and challenges they faced.

lyft.com

Reinforcement learning’s foundational flaw

Reinforcement Learning (RL) has been used to achieve tremendous results such as AlphaGo, but still has its drawbacks and flaws. Here’s a different look at RL.

thegradient.pub

Overview of national AI strategies

Following Canada’s lead, many countries have come up with a national “AI strategy”. Here is a great overview country by country.

medium.com

Given a satellite image, ML creates the view on the ground

Geographers could use the technique to determine how land is used.

technologyreview.com

Software tools & code

Glow: Better Reversible Generative Models

Reversible generative model which uses invertible 1×1 convolutions. It can generate realistic high resolution images, supports efficient sampling, and discovers features that can be used to manipulate attributes of data.

openai.com

NLP's ImageNet moment has arrived

thegradient.pub

What Image Classifiers can do about unknown objects

petewarden.com

About

This newsletter is a collection of AI news and resources curated by @dlissmyr. If you find it worthwhile, please forward to your friends and colleagues, or share on your favorite network!

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