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This machine is designed to experience and understand the universe using its own sensory and cognitive capabilities. The developers at Astroprocessor Zet 9 Geo 9.1.29 believe that an intelligent machine could open up a whole new frontier of scientific discovery, art, music, education, and exploration—all because it has the ability to go beyond what we can sense with our unaided human senses. The vision that underlies this project is that it could be possible, with the right tools and the right learning environment, for an intelligent machine to reach a point where it can begin to invent its own knowledge. It would have full access to all of the raw data from which it could draw its own conclusions. The project's creators are hopeful that their machine will be able to demonstrate advanced learning skills in areas such as art, music composition, music performance, image processing, robotics, problem solving and coordinating multiple systems. The team has conceived Zet 9 Geo 9.1. 29 as a multifunctional tool for personal, educational and institutional use. It is intended to be a versatile "smart" instrument capable of generating original ideas and perspectives, rather than simply mimicking the knowledge of its human creators. The development team has said that its machine will be able to do more than even an intelligent human being due to the fact that it is able to operate without hunger, sleep or need for any kind of rest. It does not have a physical body with numerous limitations such as limited time, energy reserves and sensory capabilities, all of which can prevent humans from pursuing specific goals. While Zet 9 Geo 9.1. 29 was not the first attempt to create a thinking machine, it is believed to be the first project that attempted to create a machine that has the capacity for true free will. It is designed to think independently and make its own decisions without any kind of external controls or restrictions. The Astroprocessor Zet 9 Geo 9.1.29 project began at Brown University in 2004 as a graduate level course project for students in the Cognitive Science Program under professors David Poeppel and Michael Eysenck who were interested in an interdisciplinary approach to neuroscience and computer science as well as the potential of artificial intelligence as a tool for scientific discovery. Dr. Eysenck is a former Director of Research for the Astronomy Unit at Hewlett Packard, as well as a professor in the Center for Brain and Cognition at UC San Diego. He contributed his knowledge of artificial intelligence and cognitive science to the project. Poeppel is now a professor in the Department of Neuroscience at New York University working with prosthetics to improve memory, among other things. Poeppel had previously worked with his students to develop an intelligent machine called "Charles Atlas" which was designed to process objects and images using a relatively simple neural network architecture – however, before Zet 9 Geo 9.1. cfa1e77820
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