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Mark Saroufim
Author of the article "Machine Learning: The Great Stagnation," offering critical insights into the field's incentives and research practices.
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Mar 6, 2021
• 1h 40min
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
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Mark Saroufim, author of "Machine Learning: The Great Stagnation," joins Mathew Salvaris, a lead ML scientist at iRobot, to dissect the stagnation in machine learning. They discuss how academia’s incentive structures stifle innovation and the implications of 'state-of-the-art' chasing. They highlight the rise of the 'gentleman scientist,' the complexities of achieving measurable success, and the need for a user-focused approach in research. The duo emphasizes collaboration and the importance of embracing failures as part of the learning process.
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