News

Cloudflare JavaScript Workers are $0.50 per million requests

Exactly one year ago today, Cloudflare gave me a mission: Make it so people can run code on Cloudflare’s edge. At the time, we didn’t yet know what that would mean. Would it be container-based?

A cliff that changed our understanding of time

A rocky, remote outcrop in Scotland inspired the realisation that the Earth was millions of years old – and led Charles Darwin to his theory of evolution.

Gitkube – Deploy to Kubernetes Using Git Push

Ideal for development where you can push your WIP branch to the cluster to test. Reference implementation for writing git-based automation on your server. Fork this repo and create your own CRD + controller + git remote hook that can do things on the Kubernetes cluster.

Study Reveals Brain Mechanisms That Allow “Iceman” Unusual Resistance to Cold

The Next Big Thing in Aging? A “Hit-And-Run” Approach to Killing Harmful Cells

How I implemented iPhone X’s FaceID using Deep Learning in Python

How Evolutionary Biology Explains Smartphone Addiction

That’s according to a new research paperthat argues for a new way of thinking about our phone addiction. The authors claim that hundreds of thousands of years of evolution made us social in order to survive–and social media simply is driving this deeply ingrained human behavior into overdrive. This isn’t actually all that bad, they say, if you follow two basic rules.

A history of machine translation from the Cold War to deep learning

Understanding 2D Dilated Convolution Operation with Examples in Numpy and Tensorflow with…

Paper repro: “Self-Normalizing Neural Networks”

SNNs are really cool: their goal is to create neural networks in which, if the input of any layer is normally distributed, the output will automatically also be normally distributed. This is amazing because normalizing the output of layers is known to be a very efficient way to improve the performance of neural networks, but the current ways to do it (eg BatchNorm) basically involve weird hacks, while in SNN the normalization is an intrinsic part of the mathematics of the neural net.