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Exploring Frontiers Of Mechanical Engineering

Exploring Frontiers Of Mechanical Engineering
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Exploring frontiers of mechanical engineering

A snapshot of MIT Department of Mechanical Engineering graduate students and their broad range of innovative research projects.

Provence alpes côd azurUnited statesCharles riverCosta ricaAndhra pradeshFaez ahmedDaniel zitterbartPeko hosoiJimmy mcraeErik ballesterosHarry asadaCarlos portelaSomayajulu dhulipalaGiovani traversoLyle regenwetterEvelyn wang

To excel at engineering design, generative AI must learn to innovate, study finds

To excel at engineering design, generative AI must learn to innovate, study finds
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Lyle regenwetterDan gutreundPrakash srivastavaFaez ahmedWatson ai labDecode labComputer aided

To excel at engineering design, generative AI must learn to innovate, study finds

A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The MIT researchers say if mechanical engineers want help from AI for novel ideas and designs, they’ll have to refocus those models beyond “statistical similarity.”

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To excel at engineering design, generative AI must first learn to innovate, study finds

To excel at engineering design, generative AI must first learn to innovate, study finds
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Faez ahmedLyle regenwetterPrakash srivastavaDan gutreundMassachusetts institute of technologyDecode labWatson ai labMassachusetts instituteBeyond statistical similarityRethinking metricsDeep generative modelsEngineering designComputer aided design