首页|New Findings on Machine Learning Described by Investigators at Yale University (Predicting Photosynthetic Pathway From Anatomy Using Machine Learning)
New Findings on Machine Learning Described by Investigators at Yale University (Predicting Photosynthetic Pathway From Anatomy Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingout of New Haven, Connecticut, by NewsRx editors, research stated, “Plants with Crassulacean acidmetabolism (CAM) have long been associated with a specialized anatomy, including succulence and thickphotosynthetic tissues. Firm, quantitative boundaries between non-CAM and CAM plants have yet to beestablished - if they indeed exist.Using novel computer vision software to measure anatomy, we combinednew measurements with published data across flowering plants.”Funders for this research include NSF - Division of Integrative Organismal Systems (IOS), NationalScience Foundation (NSF).
New HavenConnecticutUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningYale University
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