Artificial Intelligence (AI) is a worldwide effort to create software applications that can replicate, and possibly exceed, the capabilities of the human mind. Open-source software, including many AI applications, is free to anyone who wishes to use or modify it. In the early 1990′s, academic and amateur AI pioneers used various programming languages (often new and unique) to create the first open-source AI applications. Developers continue to maintain many of these classic programs.
You are probably quite aware of AI that you use every (continua…)
A few weeks ago, I finally ditched my flip phone to join the 21st century and get a smartphone. As somewhat of a technologically crippled person, I was astonished reading about 4G Internet, wireless connectivity (see www.clearwireinternet.com/) and just how far technology has progressed over recent years.
That was before I read about the Blue Brain Project.
Founded in 2005, this artificial intelligence project seeks to create a synthetic brain by breaking the mammalian brain down to its molecular level. Bigger goals of the project include gaining an exhaustive understanding of the brain and facilitating the development of faster, better treatments for brain disease.
Apparently, the research entails studying slices of living brain tissue using microscopes and patch clamp electrodes (a method of measuring ion currents in single cells). Data is gathered and studied about the many different neuron types. This data is then used to assemble biologically realistic networks of neurons in the cerebral cortex (the outer portion of the brain where higher functioning takes place).
The Blue Brain Project is primarily funded by the Swiss government and secondarily by grants and private donations. This could be not only one of the most important artificial intelligence projects in history, but one of the most important technological/scientific advancements of our time. I’m excited to see where the Blue Brain Project takes us in the future.
We all know the feeling of seeing a robot on television and being enthralled in the concept of giving a machine the ability to think and reason much like we have. We all wonder if it’s possible and to be honest, we all want to be able to do it.
We are a leading source for projects in the Artificial Intelligence community, and we’re also open source which means that we have the ability to share our findings with one another because collaboration is a huge process in the scientific (continua…)
From Mary Shelley’s “Frankenstein” to Isaac Asimov’s three laws of robotics, to the group computer intelligence of “The Matrix,” Artificial Intelligence (AI) has always commanded our attention and fired our imaginations. But fascination alone won’t get us true AI. No one is sure exactly what will.
Trying to answer the question of how to develop artificial intelligence hasn’t resulted in a single best answer, but in a variety of possible paths to the answer. Any of those paths may lead to AI. It is possible (continua…)
Open Source is a new trend in today’s technology. As informative systems continue to grow, Artificial Intelligence is now at its prime. One of the most popular focuses of Artificial Intelligence is Brain Simulation. The simulation process, which is also known as “mind uploading”, transfers a persons mind into non-human computerized systems. The mind is theoretically connected to a body simulation model and is part of a virtual reality or also known as a simulated (continua…)
Cognitive architecture should be thought of as a blueprint for creating intelligent systems and agents. Projects that involve the use of cognitive architecture are primarily created with an aim to process information like a human being, which means that they fit the generally accepted definition of “artificial intelligence”. Such projects designated as “open source” are free for anyone to use, and the source code is made available for anyone to modify it for the purposes of trying to improve upon it. (continua…)
Open Source AI Engines are abundant across the world and online. While some AI Engines are closed, many are open sourced. These categories of Open Source AI Engines include Belief Networks, Data Mining, Neural Networks, Statistics, and Support Vector Machines. Game AI is one of the most popular choices when searching for an Open Source AI Engine. Other choices for AI Engines include Path Finding and Spatial Reasoning. AI Engines can bring tremendous improvement on all types of software and even hardware platforms.
Since Open Source AI Engines came about, the gaming industry exploded with numerous more (continua…)
The field of Artificial Intelligence is a fast-growing and very lucrative one. Developers today are working on a myriad of projects centered around various ways to make our machines and processors more human. As it stands, there are dozens of AI fields to get into and here is an overview of some of the more popular choices.
Projects like aHuman work to implement human personalities into machines and get them to behave more like we do. Getting into this concentration requires knowledge of computer programming and a bit of creative thinking. Another programming-based simulator is FreeHAL. This (continua…)
Artificial intelligence is one of the most expansive, complex, fascinating, and high level concepts that exist in modern programming. While many broad subsets of programming application are beginner friendly and require little experience or background to get involved in, artificial intelligence has a steep learning curve and while definitely not impossible for beginner programmers to get involved in, is difficult.
The largest milestone preventing introductory programmers from getting involved in artificial intelligence is that artificial intelligence is built on top of existing programs, simulations, or games. In order to (continua…)
The problems arising from open source artificial intelligence are not numerous, but they have major implications. The sharing of information and resources in an open source format, will in theory lead to better analysis of artificial intelligence technologies. This in theory, should also lead to better choices and decision making in the overall research process. The problem arises in the incredible amount of data that is being shared using open source resources and tools. This data maybe untested, only partially complete, and may generally be uncertain of its validity.Check out this link