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A new framework known as MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single cohesive system. The work was developed by researchers from MIT and Google.

Tianhong liHuiwen changDina katabiShlok kumar mishraZhan zhangDilip krishnanHuisheng wangDepartment of electrical engineeringUniversity of maryland phArtificial intelligence laboratoryGoogle researchWatson research collaborationMasked generative encoderMachine intelligenceNicole pham professorElectrical engineering