首页|Research from Harvard University Yields New Findings on Machine Learning (Recons tructing S-matrix Phases with Machine Learning)
Research from Harvard University Yields New Findings on Machine Learning (Recons tructing S-matrix Phases with Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Harvard University by NewsR x correspondents, research stated, “An important element of the S-matrix bootstr ap program is the relationship between the modulus of an S-matrix element and it s phase.”The news correspondents obtained a quote from the research from Harvard Universi ty: “Unitarity relates them by an integral equation. Even in the simplest case o f elastic scattering, this integral equation cannot be solved analytically and n umerical approaches are required. We apply modern machine learning techniques to studying the unitarity constraint. We find that for a given modulus, when a pha se exists it can generally be reconstructed to good accuracy with machine learni ng. Moreover, the loss of the reconstruction algorithm provides a good proxy for whether a given modulus can be consistent with unitarity at all. In addition, w e study the question of whether multiple phases can be consistent with a single modulus, finding novel phase-ambiguous solutions.”
Harvard UniversityCyborgsEmerging Te chnologiesMachine Learning
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