Why can digital computers never learn? What could be the right solution?
Today I have chosen a fascinating topic, Machine Learning, an application of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed automatically. For example, machine learning focuses on developing computer programs that can access and use data to learn for themselves.
We know Computers are digital, and their data IO is digital. Computers are famous for consistently applying logic based on digital data because such programs can be programmed with less difficulty when compared to ML programs. Can we define AI as the Intelligence to process Information? Yes. What is Information? Information is Analog. A digital computer cannot process analog information, for not all information can be represented in digital format. A Living Soul can process any analog information, and so can bio-digital chips arrive, which have bacteria to do Analog Information Processing, thus making AI closer to Intelligence. Thus ML can be made a piece of cake with bio-digital chips, unlike current digital processing chips. Such bio-digital chips can be a reality in some fiction novels like The Doomsday Conspiracy by Sidney Sheldon.
Man can think like a Computer because He made it, but a Computer cannot feel like a Human, for a Computer is not the Creator of humanity. So there is a difference between Human Thinking and Computer Processing.
Note: One single flaw in AI can lead to a disaster. Avoid the current AI technologies or restrict them to insignificant areas of industries. Do we need auto-driven cars that run based on the probability of an event that might occur or not occur?
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