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Distributed Computing
Bossa is an open-source software framework for distributed thinking - the use of volunteers on the Internet to perform tasks that use human cognition, knowledge, or intelligence. Bossa minimizes the effort of creating and operating a distributed thinking project.
BossaIntro – BOINC
Wisdom Engine
Serendipity-Sérendipité
Attention Profiling Mark-up Language
APML ( Attention Profiling Mark-up Language ) is an XML -based format for expressing a person's interests and dislikes. [ edit ] Overview APML allows people to share their own personal attention profile in much the same way that OPML allows the exchange of reading lists between news readers. The idea behind APML is to compress all forms of attention data into a portable file format containing a description of the user's rated interests. [ edit ] The APML Workgroup
Your data is your interface
By Jarno Mikael Koponen On April 17, 2013 We all view the world differently and on our own terms. Each of us use different words to describe the same book, movie, favorite food, person, work of art, or news article. We express our uniqueness by reviewing, tagging, commenting, liking, and rating things online.Increase Interoperability of Social Data Round 11
In the fall of 2012, IBM reported that 90% of the world’s data was created in the previous two years. We are now able to decode the human genome in just under one week, where it took 10 years to do so originally. We are awash in data and computing power, and while most industries are racing to take advantage of this resource and capability, many in the social sector are not yet able to do so easily.
RoboEarth [Artificial Intelligence]
Knowledge-exchange between robots The RoboEarth project targets at building a “World Wide Web for Robots” where robots with their programmers can collectively build “action recipes”. These libraries of action recipes that are shared between robots will drastically reduce the efforts for building new robot applications.
Open Hardware
plug comp
Twine : Listen to your world, talk to the Internet by Supermechanical
The Kickstarter is over, but if you missed out on backing us, not to worry. You can still join the thousands of other awesome Twine owners by pre-ordering on Supermechanical . It's the next best thing to being an original backer!
Eur eq a (pronounced "eureka") is a software tool for detecting equations and hidden mathematical relationships in your data. Its goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download , video tutorial , user forum , and other and reference materials .
Eureqa
Ubiquitous computing
Ubiquitous computing ( ubicomp ) is a post-desktop model of human-computer interaction in which information processing has been thoroughly integrated into everyday objects and activities."pervasive computing" OR "ubiquitous computing"
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Browser Automation
Yahoo Pipes
Multi-agent system
Autopoiesis
Conway's Game of Life
The Game of Life , also known simply as Life , is a cellular automaton devised by the British mathematician John Horton Conway in 1970. [ 1 ] The "game" is a zero-player game , meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves. [ edit ] RulesFigure 1: Snow Crystal. In the beginning of quantum mechanics and statistical physics it was believed that a crystalline structure can be calculated by determining the minimum of the free energy. This may be true, e.g. for ionic crystals, such as sodium chloride, or metals. In this case, the Schrödinger equation for the ground state or possibly low lying states must be solved.
Self-organization
Web Mining: Information and Pattern Discovery on the World Wide Web
Introduction {*style:<b> Robert Cooley, Bamshad Mobasher, Jaideep SrivastavaIn machine learning , pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification , which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam" or "non-spam"). However, pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression , which assigns a real-valued output to each input; sequence labeling , which assigns a class to each member of a sequence of values (for example, part of speech tagging , which assigns a part of speech to each word in an input sentence); and parsing , which assigns a parse tree to an input sentence, describing the syntactic structure of the sentence. Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation.