ation are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computers main function in todays society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBMs Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASAs Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons). All of this shows that computers are capable of taking information and solving complex problems. This is where current technology put obstacles in the way of Artificial Intelligence. The human mind is a complex system of brain cells or neurons which accomplishes all of these tasks. Silicon chips, the hardware a computer, is extremely similar to the human brain. The human brain has over ten billion cells, and the largest cell has 200,000 inputs(Levin,30). Neurons run in parallel which adds up to trillions of connections per second. Most PCs run about thirty million connections per second. This is a far cry from the capabilities of the human mind but as technology advances neural technology will begin to close the gap between the two. This is the major obstacle to tackle in order to build a machine that thinks the same way that a human brain does. Think of it this way. The human mind has had thousands of years to evolve into what we understand of it today. The field of Artificial Intelligence roots started in 1965. As we learn more about the human mind and neural network technology improves we will be able to hurdle all obstacles to mimicking the human mind. There are computer scientists, engineers, and neurologists researching solutions for these obstacles as you read. The human brain is...
