These robots know when to ask for help
Large language models combined with confidence scores help them recognize uncertainty. That could be key to making robots safe and trustworthy.
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Large language models combined with confidence scores help them recognize uncertainty. That could be key to making robots safe and trustworthy.
<p>Engineers at Princeton University and Google have come up with a new way to teach robots to know when they don’t know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty — and triggers the robot to ask for clarification.</p>
The Truckee Historical Revue traces the history of Truckee and surrounding areas from Native American days to the 1960 Olympics with song, stories and a video display. It recounts truths about the Gold Rush, Silver Boom, Railroad Building, Boca Beer, Chinese and Irish immigrants, and Legends including the Donner Party.
Google debuts tool for programming robots with natural language commands - SiliconANGLE
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