This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence.
Creating machines that have the general problem–solving capabilities of human brains has been the holy grain of artificial intelligence scientists for decades. And despite tremendous advances in various fields of computer science, artificial general intelligence still eludes researchers.
Our current AI methods either require a huge amount of data, or a very large number of hand-coded rules, and they’re only suitable for very narrow domains. AGI, on the other hand, should be able to perform multiple tasks with little data and specific instructions.
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