@prefix vivo: . @prefix edm: . @prefix dcterms: . @prefix dc: . @prefix skos: . @prefix ns0: . vivo:departmentOrSchool "Non UBC"@en ; edm:dataProvider "DSpace"@en ; dcterms:creator "Ruehle, Fabian"@en ; dcterms:issued "2019-10-31T08:17:43Z"@en, "2019-05-03T09:00"@en ; dcterms:description """In string theory, we face a gigantic number of backgrounds, each of which comes with different implications for particle physics and cosmology. On top of this, every backgrounds has a huge number of possible vacua or near-vacua. We describe the computational complexity of the challenges associated with both finding a viable background and finding vacua for this background, and apply machine learning to study a small subset of them."""@en ; edm:aggregatedCHO "https://circle.library.ubc.ca/rest/handle/2429/72125?expand=metadata"@en ; dcterms:extent "33.0 minutes"@en ; dc:format "video/mp4"@en ; skos:note ""@en, "Author affiliation: CERN"@en ; edm:isShownAt "10.14288/1.0384826"@en ; dcterms:language "eng"@en ; ns0:peerReviewStatus "Unreviewed"@en ; edm:provider "Vancouver : University of British Columbia Library"@en ; dcterms:publisher "Banff International Research Station for Mathematical Innovation and Discovery"@en ; dcterms:rights "Attribution-NonCommercial-NoDerivatives 4.0 International"@en ; ns0:rightsURI "http://creativecommons.org/licenses/by-nc-nd/4.0/"@en ; ns0:scholarLevel "Postdoctoral"@en ; dcterms:isPartOf "BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))"@en ; dcterms:subject "Mathematics"@en, "Relativity and gravitational theory"@en, "Quantum theory"@en, "String theory"@en ; dcterms:title "Machine Learning for string vacua"@en ; dcterms:type "Moving Image"@en ; ns0:identifierURI "http://hdl.handle.net/2429/72125"@en .