Robotics & Machine Learning Daily News2024,Issue(Mar.18) :63-64.DOI:10.1109/TCDS.2023.3299755

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

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :63-64.DOI:10.1109/TCDS.2023.3299755

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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Abstract

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.”

Key words

Waterloo/Canada/North and Central Amer ica/Emerging Technologies/Machine Learning/Robot/Robotics/University of Wat erloo

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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