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An autonomous robot – a base on wheels fitted with computer vision technology that snaps images of grapevines in near real-time – rolls down a long row of plants in a vineyard at Cornell AgriTech in Geneva, New York.
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An autonomous robot – a base on wheels fitted with computer vision technology that snaps images of grapevines in near real-time – rolls down a long row of plants in a vineyard at Cornell AgriTech in Geneva, New York.
Featured
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
Featured
Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications.
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An autonomous robot – a base on wheels fitted with computer vision technology that snaps images of grapevines in near real-time – rolls down a long row of plants in a vineyard at Cornell AgriTech in Geneva, New York.
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An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications.
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McKelvey’s Chien-Ju Ho working with Art & Sciences’ Wouter Kool, DCDS PhD student Lauren Treiman to understand how human behavior changes in training AI
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The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments.
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