Top 12 Brain Inspired Artificial Intelligence projects
Artificial intelligence is the field of study that is generally defined as the study of intelligence exhibited by machines or software. The term Artificial intelligence was coined by John McCarthy, in 1955, and defines it as "the science and engineering of making intelligent machines". The goals of Artificial intelligence research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. There are a large number of tools used in Artificial intelligence and the popular approaches include statistical methods, computational intelligence and traditional symbolic AI.
OpenNN -Open Neural Networks Library , Neural Designer, a(rtificial)Human, Blue Brain Project, HNeT Application Development System, Numenta Platform for Intelligent Computing, Encog, Neuroph, Neu, Vicarious- Recursive Cortical Network, Visual Hierarchical Modular Neural Network, Artificial Intelligence Logic Electronic Emulation Neural Network are some of the Top Brain inspired Artificial intelligence projects and neural network software in no particular order.
Top Brain Inspired Artificial Intelligence projects
1. OpenNN -Open Neural Networks Library
OpenNN -Open Neural Networks Library is a software library written in the C++ programming language which implements neural networks. The solving approach consists of three steps, the first step is to choose a suitable neural network which will approximate the solution and then the problem is formulated by selecting an appropriate functional. The third step is to perform mathematical optimization with an algorithm in order to find a good set of parameters. OpenNN is able to learn from both data sets and mathematical models and the software can be used to solve applications of function regression, pattern recognition, time series prediction, optimal control, optimal design and inverse problems.
2. Neural Designer
Neural Designer, is a desktop application for discovering complex relationships, recognizing unknown patterns and predicting actual trends from data sets, developed by Intelnics. Neural designer transforms raw data in useful knowledge, discovering complex relationships, recognizing hidden patterns or predicting current trends. The program takes a data set, and produces its corresponding neural model.
a(rtificial)Human was started in 2008 aimed to implement human personality by means of computer program. a(rtificial)Human uses strong biological and computer science background and now has rich research pages, useful to start learning the field of neurobiology and approaches assisting to build brain from the scratch as a software program.
4. Blue Brain Project
Reconstructing the brain piece by piece and building a virtual brain in a supercomputer are some of the goals of the Blue Brain Project. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. The Blue Brain project began in 2005 with an agreement between the EPFL and IBM.The Blue Brain Project goal is to create a synthetic brain by reverse engineering the mammalian brain down to the molecular level. The project, founded in May 2005 in Switzerland, is to study the brain's architectural and functional principles. There are a number of sub-projects, including the Cajal Blue Brain, and others run by universities and independent laboratories.
5. HNeT Application Development System
HNeT Application Development System which was released in 1990 contained a number of example applications, based on the complex valued phase coherence/decoherence process including complex valued Hopfield network or complex associative memory. The concepts initially developed and applied within the HNeT technology form the basis for several related academic fields referred to by the acronyms Quantum neural network (QNN), Holographic associative memory (HAM), Complex Associative Memory (CAM) and Complex Valued Neural Networks (CVNN). AND Corporation, technology is based upon complex-valued phase coherence/decoherence principles in the emulation of neurological learning and function. The company has been active primarily in the object recognition and biometrics application areas. AND Corporation is based in Toronto, Canada.
6. Numenta Platform for Intelligent Computing
NuPIC, the Numenta Platform for Intelligent Computing, is an open source implementation by Numenta of its Cortical Learning Algorithm. This comprises a set of learning algorithms that were first described in a white paper published by Numenta in 2009. The learning algorithms capture how layers of neurons in the neocortex learn. There are many tasks such as visual pattern recognition, understanding spoken language, recognizing and manipulating objects by touch, and navigating in a complex world which humans find easy to do that computers are currently unable to do. These capabilities in humans are largely performed by the neocortex. The Cortical Learning Algorithm (CLA) is a technology modeled on how the neocortex performs these functions. It offers the groundwork for building machines that approach or exceed human level performance for many cognitive tasks.
Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data. Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models, Genetic Programming and Genetic Algorithms are supported.
Neuroph is an object-oriented neural network framework written in Java. It can be used to create and train neural networks in Java programs. Neuroph provides Java class library as well as GUI tool easyNeurons for creating and training neural networks.
Neu is a C++ framework, collection of programming languages, and multipurpose software system designed for the creation of artificial intelligence applications and systems, modeling and simulation, programming language and compiler construction, technical computing in general.
10. Vicarious- Recursive Cortical Network
Vicarious- Recursive Cortical Network uses the computational principles of the brain to build software that can think and learn like a human.Vicarious machine learning software based on the computational principles of the human brain. Recursive Cortical Network (RCN), is a visual perception system that interprets the contents of photographs and videos in a manner similar to humans. The system is powered by a balanced approach that takes sensory data, mathematics, and biological plausibility into consideration. In 2013 Vicarious announced its AI was reliably able to solve modern CAPTCHAs, with character recognition rates of 90% or better. As Vicarious’s algorithms are based on insights from the human brain, it is also able to recognize photographs, videos, and other visual data.
11. Visual Hierarchical Modular Neural Network
Visual Hierarchical Modular Neural Network, a software technology by TinMan Systems, visually construct a flow of human thought and logic to produce autonomous artificial intelligence. TinMan technology provides an innovative, user-friendly tools framework and deployment library to rapidly develop and integrate expert human like decision making into commercial systems. TinMan platform is designed for creating autonomous artificial intelligence based on the biological metaphor of artificial neural networks. TinMan technology fully abstracts and shields the user from the mathematical tedium associated with neural networks and machine learning technologies through a modular and templatized approach.
12. Artificial Intelligence Logic Electronic Emulation Neural Network
Artificial Intelligence Logic Electronic Emulation Neural Network, known as A.I.L.E.E.N.N. is an entire Cloud based PaaS platform as a service and IaaS Infrastructure represented as a ubiquitous entity based on Neural Networks and Fuzzy Logic with universal inputs, outputs and actuators aiming to the democratization and human like interaction as the ultimate resource planner, decision making process and actuator.
What is Artificial intelligence?
Artificial intelligence is the field of study that is generally defined as the study of intelligence exhibited by machines or software. The goals of Artificial intelligence research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. There are a large number of tools used in Artificial intelligence and the popular approaches include statistical methods, computational intelligence and traditional symbolic AI.