The Nimbus AIReligion Project
This is a new project for AI realisation, that means new type of artificial intelligence assistant in real life. Drone above the head with cameras, GPS, Wi-Fi, CPU and application with self training AI.
Idea and concept financing … Ok
Science publication and investigation … Ok
Promo video and posters creation … in progress
Hardware … in progress
Software … in progress
Using Artificial Intelligence to Write Self-Modifying/Improving Programs
Is it possible for a computer program to write its own programs? Could human software developers be replaced one day by the very computers that they master? Just like the farmer, the assembly line worker, and the telephone operator, could software developers be next? While this kind of idea seems far-fetched, it may actually be closer than we think. This article describes an experiment to produce an AI program, capable of developing its own programs, using a genetic algorithm implementation with self-modifying and self-improving code. The programming language is brainfuck.
Current AI Projects in development, where you can assist:
- Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level.
- Google Brain A deep learning project part of Google X attempting to mimic human-level intelligence.
- NuPIC, an open source implementation by Numenta of its cortical learning algorithm.
- 4CAPS, developed at Carnegie Mellon University under Marcel A. Just
- ACT-R, developed at Carnegie Mellon University under John R. Anderson.
- AIXI, Universal Artificial Intelligence developed by Marcus Hutter at IDSIA and ANU.
- CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns to help manage your office environment.
- CHREST, developed under Fernand Gobet at Brunel University and Peter C. Lane at the University of Hertfordshire.
- CLARION the cognitive architecture, developed under Ron Sun at Rensselaer Polytechnic Institute and University of Missouri.
- CoJACK, an ACT-R inspired extension to the JACK multi-agent system that adds a cognitive architecture to the agents for eliciting more realistic (human-like) behaviors in virtual environments.
- Copycat, by Douglas Hofstadter and Melanie Mitchell at the Indiana University.
- DUAL, developed at the New Bulgarian University under Boicho Kokinov.
- EPIC, developed under David E. Kieras and David E. Meyer at the University of Michigan.
- The H-Cogaff architecture, which is a special case of the CogAff schema; see Taylor & Sayda, and Sloman refs below.
- FORR developed by Susan L. Epstein at The City University of New York.
- IDA and LIDA, implementing Global Workspace Theory, developed under Stan Franklin at the University of Memphis.
- OpenCog Prime, developed using the OpenCog Framework.
- Procedural Reasoning System (PRS), developed by Michael Georgeff and Amy L. Lansky at SRI International.
- Psi-Theory developed under Dietrich Dörner at the Otto-Friedrich University in Bamberg, Germany.
- R-CAST, developed at the Pennsylvania State University.
- Soar, developed under Allen Newell and John Laird at Carnegie Mellon University and the University of Michigan.
- Society of mind and its successor the Emotion machine proposed by Marvin Minsky.
- Subsumption architectures, developed e.g. by Rodney Brooks (though it could be argued whether they are cognitive).
Coffee Tasseography – coffee reading and predictions on your photo with neural networks.