首页|Academy of Sciences of the Czech Republic Reports Findings in Machine Learning ( A simple approach to rotationally invariant machine learning of a vector quantit y)
Academy of Sciences of the Czech Republic Reports Findings in Machine Learning ( A simple approach to rotationally invariant machine learning of a vector quantit y)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Prague, Czech Republic, by NewsRx journalists, research stated, “Unlike with theenergy, which is a scalar property, machine learning (ML) prediction of vector or tensor prop erties posesthe additional challenge of achieving proper invariance (covariance ) with respect to molecular rotation. Forthe energy gradients needed in molecul ar dynamics (MD), this symmetry is automatically fulfilled whentaking analytic derivative of the energy, which is a scalar invariant (using properly invariant moleculardescriptors).”
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