首页|Findings from Tufts University Broaden Understanding of Machine Learning (On Mac hine Learning Analysis of Atomic Force Microscopy Images for Image Classificatio n, Sample Surface Recognition)
Findings from Tufts University Broaden Understanding of Machine Learning (On Mac hine Learning Analysis of Atomic Force Microscopy Images for Image Classificatio n, Sample Surface Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Medford, Massachuset ts, by NewsRx editors, the research stated, “Atomic forcemicroscopy (AFM or SPM ) imaging is one of the best matches with machine learning (ML) analysis amongm icroscopy techniques. The digital format of AFM images allows for direct utiliza tion in ML algorithmswithout the need for additional processing.”
MedfordMassachusettsUnited StatesN orth and Central AmericaAtomic Force MicroscopyCyborgsEmerging TechnologiesMachine LearningTufts University
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