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Edward Y. Chang - Episode 50

ACM ByteCast

00:00

Enhancing Machine Learning Infrastructure and Transitioning to Healthcare Projects

The chapter explores the enhancement of machine learning infrastructure accuracy for Google applications, focusing on challenges and improvements like the use of support vector machines and parallel computation with GPUs. It also discusses the speaker's transition from working with GPUs at Google to healthcare projects in Taipei, detailing their work on developing medical devices and leveraging machine learning for remote diagnosis. Additional topics include challenges in commercializing medical devices, utilizing advanced technology in rural healthcare, and the implementation of a debate system to reduce bias and improve contextual information in generating questions and answers.

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