首页|Data on Machine Learning Detailed by Researchers at University of Chile [Machine Learning-based Identification of Geomorphological Units In Quintero Bay (32 s) and Its Implications for the Search for Early Drowned Archaeological Site s On the ...]
Data on Machine Learning Detailed by Researchers at University of Chile [Machine Learning-based Identification of Geomorphological Units In Quintero Bay (32 s) and Its Implications for the Search for Early Drowned Archaeological Site s On the ...]
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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 to newsoriginating from Santiago, Chile, by NewsRx correspondents, research stated, “High-resolution predictivemodeling of submerged landscapes has successfully allowed the detection of early archaeologi cal sites thatare presently underwater. These models have traditionally relied on geophysical techniques, which can beboth time-consuming and expensive, espec ially for extensive survey areas.”
SantiagoChileSouth AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Chile
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