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At the same time, millions of seniors and people with disabilities suffer from limited mobility. Driverless cars and taxis might someday provide mobility for this population.
Current deep learning algorithms and methods are nowhere near the holy grail of “Artificial General Intelligence (AGI).”
Current algorithms lean more towards narrow learning, meaning they are good at learning and solving specific types of problems under specific conditions. These algorithms take a humongous amount of data as compared to humans who can learn from relatively few learning encounters. The transfer process of these learnings from one problem domain to another domain is somewhat limited as well.