Radiative Cooling – Environment-Friendly Cooling Technologies with Zero Energy Consumption
Radiative cooling is the natural process through which objects shed heat in the form of infrared (IR) radiation. All materials at room temperature emit infrared at wavelengths of 5–15 μm. However, the process is typically not very efficient because it is counteracted by external influences that heat the object, such as sunlight and air currents. Air, meanwhile, absorbs and emits very little radiation with wavelengths 8–13 μm. The Earth cools itself at night by emitting infrared through this “atmospheric window” into space.
cooling  passive-cooling 
august 2018
Jeff Allen
cartography and data visualization using a variety of open-source tools (often with Python, R, JS, PostGIS, and/or QGIS). Some of these projects are hosted on GitHub. See below for links to a few.
map  mapping  gis 
june 2018
pglogical | 2ndQuadrant
pglogical is a logical replication system implemented entirely as a PostgreSQL extension. Fully integrated, it requires no triggers or external programs. This alternative to physical replication is a highly efficient method of replicating data using a publish/subscribe model for selective replication.
postgresql  replication 
june 2018
Revised and much faster, run your own high-end cloud gaming service on EC2!
Stream videogame from a server running on AWS with a powerful GPU
aws  cloud  ec2  gaming 
june 2018
Deploy SSD cloud servers in seconds. - Scaleway
Cloud provider with data centers in Amsterdam and Paris
arm  cloud  hosting  server  ssd 
may 2018
Differentiable Plasticity: A New Method for Learning to Learn | Uber Engineering Blog
Uber AI Labs has developed a new method called differentiable plasticity that lets us train the behavior of plastic connections through gradient descent so that they can help previously-trained networks adapt to future conditions. While evolving such plastic neural networks is a longstanding area of research in evolutionary computation, to our knowledge the work introduced here is the first to show it is possible to optimize plasticity itself through gradient descent. Because gradient-based methods underlie many of the recent spectacular breakthroughs in artificial intelligence (including image recognition, machine translation, Atari video games, and Go playing), making plastic networks amenable to gradient descent training may dramatically expand the power of both approaches.
ai  learning  machine-learning  ml 
april 2018
FoundationDB | Home
FoundationDB gives you the power of ACID transactions in a distributed database.
apple  database  distributed  nosql 
april 2018
GitHub - tshort/dactyl-keyboard: Dactyl-ManuForm, a parameterized ergonomic keyboard
Dactyl-ManuForm, a parameterized, split-hand, concave, columnar, ergonomic keyboard.
3d  3dprinting  keyboard  diy  ergonomic 
april 2018
Seek App · iNaturalist.org
Take your nature knowledge up a notch with Seek! Seek encourages outdoor exploration and learning by harnessing image recognition technology to help you identify plants and animals from your photos. Choose from a list of nearby plants, animals, and fungi and collect photographs of as many species as you can!
ios  app  plantrecognition 
march 2018
My unusual hobby | Stephan Boyer
"When I come home from work, I try to prove theorems in a proof assistant. Usually the theorems are related to functional programming or type systems.
It’s a masochistic hobby. Convincing a computer that a theorem is true can be quite difficult compared to convincing a human. But if I can get a computer to accept my proof, then a) I must have a pretty good understanding of it, and b) it really must be right!
I use the Coq theorem prover for formalizing proofs. Coq is a beautiful and simple language [1]—far simpler than the languages I use at work!"
math  programming 
november 2017
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