首页|Investigators at University of Waterloo Report Findings in Robotics (Cbcl-pr: a Cognitively Inspired Model for Class-incremental Learning In Robotics)

Investigators at University of Waterloo Report Findings in Robotics (Cbcl-pr: a Cognitively Inspired Model for Class-incremental Learning In Robotics)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news originating from Waterloo, Canada, by NewsRx correspondent s, research stated, “For most real-world applications, robots need to adapt and learn continually with limited data in their environments. In this article, we c onsider the problem of few-shot incremental learning (FSIL), in which an AI agen t is required to learn incrementally from a few data samples without forgetting the data it has previously learned.”

WaterlooCanadaNorth and Central Amer icaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Wat erloo

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.18)
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