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Distributed Computing

OAuth Community Site. BossaIntro – BOINC. 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.

BossaIntro – BOINC

Bossa minimizes the effort of creating and operating a distributed thinking project. It provides a project web site, hosted on your Linux server, where volunteers go to perform tasks and to interact with other volunteers. All you need to supply are PHP scripts to generate, show, and handle tasks. Bossa helps you deal with the variance of volunteer skill. CI capitalising on the crowd. Serendipity-Sérendipité. Le logiciel libre moteur de recherche. Home - OpenSearch. The RoboEarth Cloud Engine. Start - International Desktop Grid Federation.

Wisdom Engine

APML - Attention Profiling Mark-up Language: The open standard for Attention Metadata. Attention Profiling Mark-up Language. APML (Attention Profiling Mark-up Language) is an XML-based format for expressing a person's interests and dislikes.

Attention Profiling Mark-up Language

Overview[edit] 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. Interest graph. Suppose two people have similar interests, such as photo and they like the same music.

Interest graph

So there is a relationship between them based on their interests which can be shown by interest graph. Vertices correspond to entities, and edges are the relationships between entities. Your data is your interface. By Jarno Mikael Koponen On April 17, 2013 We all view the world differently and on our own terms.

Your data is your interface

Technology. Primal is the first artificial intelligence that synthesizes semantic data in real-time.

Technology

We call our innovation, semantic synthesis. Unlike analytical, data-driven solutions, Primal works effectively with very sparse data inputs, making it the only solution that can keep pace with today's diverse and exponentially growing online environments. It also directly incorporates inputs from end-users, making it an ideal solution for user modelling and personalization. Primal's technology allow us to interact with unstructured and semi-structured content on the Internet as if the Web was already semantic. Increase Interoperability of Social Data Round 11. Grand Challenges Explorations Round 11March 2013 In Partnership with Liquidnet for Good Background:

Increase Interoperability of Social Data Round 11

Freebase. RoboEarth [Artificial Intelligence] Knowledge-Exchange between Robots The purpose of the RoboEarth project is to create a giant network through which robots and their programmers can easily share information about actions and the world.

RoboEarth [Artificial Intelligence]

Similar to what the World Wide Web has done for humans, RoboEarth will enable robotic systems to benefit from the experience of other robots in a way that can be easily translated to their own case. Charity Engine. Bienvenue sur Winiti. Open Hardware. Plug comp Sensors. 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.

Twine : Listen to your world, talk to the Internet by Supermechanical

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! Follow us on Facebook or Twitter. Eureqa. Eureqa is a breakthrough technology that uncovers the intrinsic relationships hidden within complex data.

Eureqa

Traditional machine learning techniques like neural networks and regression trees are capable tools for prediction, but become impractical when "solving the problem" involves understanding how you arrive at the answer. Eureqa uses a breakthrough machine learning technique called Symbolic Regression to unravel the intrinsic relationships in data and explain them as simple math.

Using Symbolic Regression, Eureqa can create incredibly accurate predictions that are easily explained and shared with others. Over 35,000 people have relied on Eureqa to answer their most challenging questions, in industries ranging from Oil & Gas through Life Sciences and Big Box Retail. Try Eureqa for yourself - it's free for 30 days. Eureqa One Page Overview (.pdf) »Visit the Eureqa Community » Supermechanical : objects that connect us.

Multi-agent system

Ubiquitous computing. Ubiquitous computing (ubicomp) is a concept in software engineering and computer science where computing is made to appear everywhere and anywhere.

Ubiquitous computing

In contrast to desktop computing, ubiquitous computing can occur using any device, in any location, and in any format. A user interacts with the computer, which can exist in many different forms, including laptop computers, tablets and terminals in everyday objects such as a fridge or a pair of glasses. The underlying technologies to support ubiquitous computing include Internet, advanced middleware, operating system, mobile code, sensors, microprocessors, new I/O and user interfaces, networks, mobile protocols, location and positioning and new materials. This new paradigm is also described as pervasive computing, ambient intelligence,[1] ambient media[2] or 'everyware'.[3] Each term emphasizes slightly different aspects. Core concepts[edit] Dust: miniaturized devices can be without visual output displays, e.g.

Layer 1: task management layer. SOCIETIES: Combining Pervasive Computing with Social Networks. Feng-GUI - Attention Analysis for Websites and Advertisements. "pervasive computing" OR "ubiquitous computing" Pervasive Computing Methodenseminar - Taxonomy of Bypassers - Institut für Pervasive Computing. Top 7 Benefits of Pervasive Computing in Architecture : Sensing Architecture by Maria Lorena Lehman.

Rewire the web. DataPortability.org - Share and remix data using open standards. ScrapePro Universal Web Scraper Platform. SaaS integration, cloud apps workflows and task automation - tarpipe. Browser Automation. Yahoo Pipes. Let me google that for you. Soovle - Let the web help. Give me back my GOOGLE™ Google Consciousness. Autopoiesis. Conway's Game of Life. "Conway game" redirects here. For Conway's surreal number game theory, see surreal number. 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 or, for advanced players, by creating patterns with particular properties. Rules[edit] _LIVESON. To be published in: R. Trappl (ed.) (1996): Cybernetics and Systems '96 (World Science, Singapore?) Johan Bollen & Francis Heylighen Center "Leo Apostel", Free University of Brussels, Self-organization. Figure 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. In general, this requires the solution of a many particle problem. Web Mining: Information and Pattern Discovery on the World Wide Web. Pattern recognition. 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.

This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. In contrast to pattern recognition, pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms (especially with fairly general, carefully tailored patterns) can sometimes succeed in providing similar-quality output to the sort provided by pattern-recognition algorithms. Overview[edit] Probabilistic classifiers[edit] They output a confidence value associated with their choice. .