Artificial Intelligence 2.0
MIT has launched the Mind Machine Project, or MMP, which is aimed at revamping artificial intelligence. The project, consisting of a collaboration of two dozen professors, students and post-docs spans five generations of AI research and hopes to build upon the science that started over fifty years ago. The goal is to fuse together new fields of research, such as computational neuroscience and software programming, to create a hybrid discipline that integrates a comparative approach to evolve the science of AI.
Research on AI has become stagnate with early hopes of the emerging science failing to meet its desired goal. According to scientists, there are three areas that need to be reworked in order for evolution of the field to continue, dealing with mind, memory, and body. Difficulties in AI research lie with trying to mirror and create the complex evolutionary system of the human mind. This means developing a computer system that isn't programed by writing a series of code, but can have the malleability of the human mind where information happens everywhere and all the time. As our knowledge of consciousness and the workings of the brain increases, an "ecology of models" can be created that will allow the AI research and experimentation to respond and solve problems in many different ways.
"Gian-Android 2 (the thinker)" by Roberto Rizzato on Flickr courtesy of Creative Commons Licensing.Tweet