The July 27 Blood Moon will be the longest total lunar eclipse of the 21st century.
Check out the lunar eclipse on July 27! It will be magnificent. If weather doesn’t permit it, make sure to go and see the next one in January.
I am a coffee enthusiast and space nerd
The July 27 Blood Moon will be the longest total lunar eclipse of the 21st century.
Check out the lunar eclipse on July 27! It will be magnificent. If weather doesn’t permit it, make sure to go and see the next one in January.
Today leading scientists in Europe have designated a plan for a multinational European Artificial Intelligence Institute.
ELLIS will be a top employer in machine intelligence research, on par with Berkeley, Stanford, CMU, and MIT. It will also be a world class venue to get trained in the field: in conjunction with universities, it will develop a highly attractive European PhD program, and it will strive to retain the best graduates within ELLIS to groom them into the next generation of senior scientists.
Europe will be able to play a major role in the scientific and societal revolution that is underway.
Although some people may argue that it is already too late, I think it is worthwhile to put the effort and money into it.
Also Ian Sample from The Guardian wrote an interesting article about the development.
After some frustrating experience with MacPorts regarding failed builts and outdated versions I decided to setup my python development environment anew and do some things differently. Basically I followed Joern Hees’ fantastic blog post to switch away from my old environment with MacPorts and Conda and onto a fresh install using homebrew and virtualenv and pyenv.
set up some taps and update brew
brew tap homebrew/science # a lot of cool formulae for scientific tools
brew tap homebrew/python # numpy, scipy, matplotlib, ...
The taps mostly don’t exist anymore or are deprecated, doesn’t matter too much though, since most of the packages have been migrated to the homebrew core tap.
pip install virtualenv
Of course virtualenv does exist, however there are some compatibility issues regarding the macos graphics backend and the usage of tensorflow; therefore one can either change the graphics backend to TgAgg or use pyenv instead.
Switching environments can be a hassle and therefore I suggest implementing a little bash function into your .profile file like this:
sc() {
export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8
source ~/venv/science/bin/activate
}
To be honest, I am quite happy with how this solution worked out and sadly the hardest part was to get rid of all the old stuff I had installed previously, but I won’t get into detail here; luckily with this new solution that won’t a problem.
Today, I want to recommend a series of Youtube videos called Crash-Course Computerscience produced in cooperation with PBS. Over the course of around 40 videos you learn about the basics of computerscience and as a physicist I had a few true “heureka”-moments while watching. Also check out other crash-course series by Hank Green and collegues, like Crash Course Psychology or Crash Course World History
An older piece from Steven Levy on how Apple incorporates machine learning and AI into its products. Very interesting read.