Microsoft Research published findings showing that moving AI inference off a robot's onboard hardware can improve task success and efficiency and support more advanced physical AI workloads.
Why it matters: It suggests offloading inference rather than running it on the robot could let physical AI systems handle more demanding workloads.
Written by AI from Microsoft Research AI's published text. Read the original for full details.
From the publisher
Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared first on Microsoft Research .
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