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Colorado State University researchers Jason Stock and Tom Cavey have published a paper on an AI system that rewards dogs for doing tricks.
The computer science grad students trained image classification networks to determine whether a dog is sitting, standing, or lying down. If a dog responds to a command by adopting the correct posture, the machine dispenses a treat.
The students used an Nvidia Jetson edge AI platform for real-time trick recognition and treats. Stock and Cavey see their prototype system as a dog trainer’s aid — it handles the treats — or a way to school dogs on better behavior at home.
“We’ve demonstrated the potential for a future product to come out of