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Researchers from MIT’s Center for Brains, Minds, and Machines (CBMM) and Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed another way to make computers learn a step further like humans.

The strategy is by creating a semantic parser that makes machines learn through observation. This is like making computers to learn like a human child, in which it observes scenes and making connections by itself.

Just like how a human child would when learning a new language, the strategy has the potential to greatly extend computing’s capabilities.