ramboldio

#!/bin/python3

"""
opens links in link file formats on all operating systems 
currently supported
Apple's .webloc & Dropbox' .web

© Lukas Rambold <lukas@rambold.de>, 2022
MIT License
"""

ramboldio

BeeLearning 🐝

Idea

Do image classification like bees do it. Find a (simple) electric curcuit that can classify a event in an analog input video signal. Train on simulated harware that gives us the gradients.

Gains

• dirt cheap to produce harware for
• 1000x electricity saving for classification

ramboldio

author	title	date	sitemap
Lukas Rambold	Public Sector IT: The Good Parts	02-01-2021	false

By founding a startup in public sector IT I wanted to contribute my software engineering skills where there is a lot left to do and where one can directly contribute to society. After working through that and witnessing the deep systemic issues in the public sector usually are not engineering issues, it is hard not to get discouraged and doubting the long-term survival of democratic governments. Here, I want to hightlight projects (free of criticism and hopefully independent of how much marketing each project did for itself) and system that work well, give hope and should inspire imitation:

• Stadt Bühl offer Jitsi Service to schools and other institutions with self-hosted infrastructure for free. No cloud or Microsoft required. Link

ramboldio

Wer wird die Existenzfrage eGovernment beantworten?

Wenige werden bestreiten, dass ein funktionierender Staat im Jahr 2050 noch mit Papierakten hantiert oder mit Stempel und Unterschrift Dokumente bestätigt.

Deshalb ist es weniger ein Frage, ob der Staat der Zukunft ein digitaler sein wird, sondern vielmehr, wer diese Entwicklung antreiben wird. Meine Favoriten: Die bestehenden staatlichen Institutionen, die Zivilgesellschaft/OpenSource Communities oder die Digitalwirtschaft/BigTech.

Dazu illustriere ich, wie die nächsten 10 Jahre, in denen diese Frage entschieden wird in den verschiedenen Szenarien verlaufen können.

ramboldio

# You will find a step-by-step guide to this example in the docs and the
# corresponding jupyter notebook on our github repository.

using DifferentialEquations
using LightGraphs
using NetworkDynamics
using Plots
using LinearAlgebra
using DiffEqFlux, DiffEqSensitivity, Flux, OrdinaryDiffEq, Zygote

ramboldio

<?xml version="1.0" encoding="UTF-8"?>
<OpenModelicaModelDescription
  xmlns:exp="https://svn.jmodelica.org/trunk/XML/daeExpressions.xsd"
  xmlns:equ="https://svn.jmodelica.org/trunk/XML/daeEquations.xsd"
  xmlns:fun="https://svn.jmodelica.org/trunk/XML/daeFunctions.xsd"
  xmlns:opt="https://svn.jmodelica.org/trunk/XML/daeOptimization.xsd"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  fmiVersion="1.0"
  modelName="SimpleSeesaw"
  modelIdentifier="SimpleSeesaw"

ramboldio

====================[ Build | hyriseCalibration | Debug ]=======================
/snap/clion/99/bin/cmake/linux/bin/cmake --build /home/lukas/Projects/hyrise/cmake-build-debug --target hyriseCalibration -- -j 2
[  0%] Built target lz4
[  0%] Built target resourceLink
[  6%] Built target zstd
[  6%] Built target cqf
[  8%] Built target sqlparser
[ 10%] Built target libjemalloc-build
[ 30%] Built target tpcds_dbgen
[ 32%] Built target hpinuma_base_s

ramboldio

license: gpl-3.0
height: 600

ramboldio

### Keybase proof

I hereby claim:

  * I am ramboldio on github.
  * I am ramboldio (https://keybase.io/ramboldio) on keybase.
  * I have a public key whose fingerprint is BEEA EE8C 9D7E 52E1 19B6  E936 D850 90BA 05BF 7AD0

To claim this, I am signing this object:

ramboldio

You need to import lodash which allows you to deep copy objects and arrays easily.
You can also write your own deep copy code of course. :D 


JS
--------------------------------------------------

_forceUpdate : function(property) 
  // set a deep-copy of product as product
  this.set(property, _.clone(this.get(property)));