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New network model may be used to form effective strategies to contain infectious diseases

Researchers from Tokyo Metropolitan University have performed numerical simulations based on network theory which show how numbers of infections in a pandemic change when a new variant emerges.

Yutaka okabeEmily hendersonAkira shudoTokyo metropolitan universityEmeritus professor yutaka okabeProfessor akira shudoCovid 19

Network models may help us understand spread of new variants in pandemic

Network models may help us understand spread of new variants in pandemic
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Yutaka okabeAkira shudoTokyo metropolitan universityEmeritus professor yutaka okabeProfessor akira shudo

Less is more? New take on machine learning helps us scale up phase transitions

Researchers from Tokyo Metropolitan University have enhanced "super-resolution" machine learning techniques to study phase transitions. They identified.

Hiroyuki moriYutaka okabeShibaura institute of technologyTokyo metropolitan universityBioinformatics institute of singaporeProfessors yutaka okabeShibaura instituteBioinformatics instituteMachine learningComputer visionஹீரோயுக்கி மோரியத்க ஒக்கபேடோக்கியோ பெருநகர பல்கலைக்கழகம்உயிர் தகவலியல் நிறுவனம்

Less is more? New take on machine learning helps us

Researchers from Tokyo Metropolitan University have enhanced super-resolution machine learning techniques to study phase transitions. They identified key features of how large arrays of interacting particles behave at different temperatures by simulating tiny arrays before using a convolutional neural network to generate a good estimate of what a larger array would look like using correlation configurations. The massive saving in computational cost may realize unique ways of understanding how materials behave.

Hiroyuki moriYutaka okabeAgency for scienceScientific researchTokyo metropolitan universityBioinformatics institute of singaporeResearch fellowship for young scientistsResearch attachment programme of singaporeJapan society for the promotion of scienceShibaura institute of technologyProfessors yutaka okabeShibaura instituteBioinformatics instituteJapan societyResearch fellowshipYoung scientists