首页|Findings on Machine Learning Discussed by Investigators at Northeastern Universi ty (Identification of Putative Coral Pathogens In Endangered Caribbean Staghorn Coral Using Machine Learning)
Findings on Machine Learning Discussed by Investigators at Northeastern Universi ty (Identification of Putative Coral Pathogens In Endangered Caribbean Staghorn Coral Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Nahant, Massachusett s, by NewsRx editors, research stated, “Coral diseases contribute to the rapid d ecline in coral reefs worldwide, and yet coral bacterial pathogens have proved d ifficult to identify because 16S rRNA gene surveys typically identify tens to hu ndreds of disease-associate bacteria as putative pathogens. An example is white band disease (WBD), which has killed up to 95% of the now-endanger ed Caribbean Acropora corals since 1979, yet the pathogen is still unknown.” Financial supporters for this research include NSF - Directorate for Geosciences (GEO), National Science Foundation (NSF).
NahantMassachusettsUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesGeneticsMachine Learn ingNortheastern University
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