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A manifold fitting approach for high-dimensional data reduction beyond Euclidean space

A manifold fitting approach for high-dimensional data reduction beyond Euclidean space
phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.

Shing tung yauJiaji suZhigang yaoTsinghua universityInternational congressGenerative adversarial networks gansDepartment of statisticsMathematical sciencesNational university of singaporeCycle generative adversarial networkProceedings of the national academy sciencesYau mathematical sciences centerHarvard universityNational academyNational universityAssociate professor zhigang yao

A manifold fitting approach for high-dimensional data reduction beyond Euclidean space

National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smo

United statesHarvard universityTsinghua universityNational university of singaporeDepartment of statisticsGenerative adversarial networks gansCentre of mathematical sciencesInternational congressYau mathematical sciences centreNational universityAssociate professor zhigangData scienceGenerative adversarial networksProfessor shing tungAssoc prof yaoProf yau

AI-driven cyberattacks in PH on the rise in 2024, says Trend Micro

AI-driven cyberattacks in PH on the rise in 2024, says Trend Micro
newsbytes.ph - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from newsbytes.ph Daily Mail and Mail on Sunday newspapers.

Ian felipeRaymond almanonEric skinnerWorld hotel in makati cityTrend microGenerative adversarial networks gansTrend micro philippinesNew world hotelGenerative adversarial networks

AI Art: Leading UK Artists Call For Legal Action and Regulation

The intersection of art and artificial intelligence has recently taken a contentious turn, with hundreds of British artists.

United statesUnited kingdomTim flachDavid hockneyRachel whitereadAnish kapoorDamien hirstBridget rileyTracey eminJulia fullertonUniversity of chicagoArtists copyright societyAssociation of photographersGenerative adversarial networks gansGetty imagesJulia fullerton batten

How is Machine Learning Leveraged in Photonic Design?

Photonic design involves developing optical components and systems that use light for computing, communications, and sensing. With the growing complexity of these systems, the adoption of machine learning has proven effective in modeling intricate structures and extracting valuable insights from extensive datasets.

Owais alijanQuardia shutterstockOwais aliConvolutional neural networks cnnsRecurrent neural networks rnnsGenerative adversarial networks gansLearning algorithms usedNeural networksAdversarial networksMachine learning usedAdvanced materialsScience advancesNew eraNature photonicsMachine learning in photonicsHotonics machine learning