Robotics & Machine Learning Daily News2024,Issue(Jan.30) :42-42.

Data on Machine Learning Reported by Researchers at University of Florida (Humans In the Loop: Community Science and Machine Learning Synergies for Overcoming Herbarium Digitization Bottlenecks)

Robotics & Machine Learning Daily News2024,Issue(Jan.30) :42-42.

Data on Machine Learning Reported by Researchers at University of Florida (Humans In the Loop: Community Science and Machine Learning Synergies for Overcoming Herbarium Digitization Bottlenecks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Gainesville, Florida, by NewsRx journalists, research stated, “Among the slowest stepsin the digitization of natural history collections is converting imaged labels into digital text. We presenthere a working solution to overcome this long-recognized efficiency bottleneck that leverages synergiesbetween community science efforts and machine learning approaches.”

Key words

Gainesville/Florida/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Florida

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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