Related articles NEW YORK: By pitting human vision against that of machines for the first time, computer scientists have shown that machines still struggle with interpreting visual patterns, compared to their human counterparts. The study, published in Proceedings of the National Academy of Sciences today, implies that computer vision research still has a long way to go before machines have visual perception rivalling that of humans. Humans recollect, robots forget The fact that humans are better than machines at understanding visual patterns did not come as a surprise to scientists. For machines to achieve a higher level of visual understanding, artificial intelligence researchers are teaching them to recognise individual parts of an object and combine their relative positions into a recognisable whole object.
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