UNIVERSITY PARK, Pa. — A team of researchers at Penn State are following a “selective learning” approach — where scientists only collect data needed for a specific problem, instead of collecting all available data and sorting through to find what applies to a problem — to make artificial intelligence (AI)-powered systems like unmanned autonomous vehicles (UAVs) more efficient.
“The approach is akin to the ‘selective attention’ mechanism of the human brain. The brain only…
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https://www.psu.edu/news/institute-computational-and-data-sciences/story/qa-researchers-approach-aims-make-ai-powered
