首页|University of Waterloo Reports Findings in Machine Learning (Material characteri zation of human middle ear using machine-learningbased surrogate models)
University of Waterloo Reports Findings in Machine Learning (Material characteri zation of human middle ear using machine-learningbased surrogate models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating in Waterloo, Cana da, by NewsRx journalists, research stated, “This study aims to introduce a nove l non-invasive method for rapid material characterization of middle-ear structur es, taking into consideration the invaluable insights provided by the mechanical properties of ear tissues. Valuable insights into various ear pathologies can b e gleaned from the mechanical properties of ear tissues, yet conventional techni ques for assessing these properties often entail invasive procedures that preclu de their use on living patients.”
WaterlooCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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