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 new Turing-incomplete domain-specific language? Lua? ‘Functions’? There were lots of ideas. Source: cloudflare.com
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. Source: bbc.com
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. Source: gitkube.sh
STUDY REVEALS BRAIN MECHANISMS THAT ALLOW “ICEMAN” UNUSUAL RESISTANCE TO COLD
Practice of the Wim Hof Method made Hof’s skin temperature relatively invariant to cold exposure, a finding the researchers attributed to his increased sympathetic innervation and glucose consumption in intercostal muscle revealed by PET imaging. The method appeared to allow him to generate heat that dissipates to lung tissue and warms circulating blood in the pulmonary capillaries. Source: wayne.edu
THE NEXT BIG THING IN AGING? A “HIT-AND-RUN” APPROACH TO KILLING HARMFUL CELLS
Cellular senescence is now thought to be one of the root causes driving disease in old age. We spoke to Dr. James Kirkland, director of the Robert and Arlene Kogod Center on Aging at the Mayo Clinic, about what senescence is, how it contributes to aging, and what can be done about it. Source: elysiumhealth.com
HOW I IMPLEMENTED IPHONE X’S FACEID USING DEEP LEARNING IN PYTHON
One of the most discussed features of the new iPhone X is the new unlocking method, the successor of TouchID: FaceID.Having created a bezel-less phone, Apple had to develop a new method to unlock the phone in a easy and fast way. While some competitors continued using a fingerprint sensor, placed in a different position, Apple decided to innovate and revolutionize the way we unlock a phone: by simply looking at it. Thanks to an advanced (and remarkably small) front facing depth-camera, iPhone X in able to create a 3D map of the face of the user.
Read moreHOW 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. Source: fastcodesign.com
A HISTORY OF MACHINE TRANSLATION FROM THE COLD WAR TO DEEP LEARNING
I open Google Translate twice as often as Facebook, and the instant translation of the price tags is not a cyberpunk for me anymore. That’s what we call reality. It’s hard to imagine that this is the result of a centennial fight to build the algorithms of machine translation and that there has been no visible success during half of that period.
Read moreUNDERSTANDING 2D DILATED CONVOLUTION OPERATION WITH EXAMPLES IN NUMPY AND TENSORFLOW WITH…
So from this paper. “Multi-Scale Context Aggregation by Dilated Convolutions”, I was introduced to Dilated Convolution Operation. And to be honest it is just convolution operation with modified kernel, to be exact, wider kernel. However, to understand something fully, I need to implement it, hence the existence of this post. Source: towardsdatascience.com
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.
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