In the News
Facing up to AI’s failings
Intel’s ZombieLoad flaw, AIibaba, Tencent sales rise, OnePlus’s new pop-up
Why San Francisco’s ban on face recognition is only the start of a long fight
The city government can’t use the technology, but private companies still can, and regulating those uses is a thornier problem.
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Learning
Google AI Impact Challenge names 2019 grantees
List of 20 projects that won this challenge in addressing social, humanitarian and environmental problems using AI.
Five questions you can use to cut through AI hype
Here’s a checklist for assessing the quality and validity of a company’s machine-learning product.
Software tools & code
Technical debt for data scientists
How to identify technical debt and how to get back on track once projects get mired in debt.
Data version control with DVC
Data versioning is one of the most ignored features in data science projects, but that has to change. Here I’ll discuss a recent podcast by one of the creators of the best tool for this purpose, DVC.
A new way to build tiny neural networks could create powerful AI on your phone
We’ve been wasting our processing power to train neural networks that are ten times too big.
Some thoughts
The Empty Promise of Data Moats
Having more data may not be the silver bullet that many business leaders have long assumed it to be.