Customer-obsessed science
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January 23, 2023Two Alexa AI papers present novel methodologies that use vision and language understanding to improve embodied task completion in simulated environments.
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January 20, 2023Prompt engineering enables researchers to generate customized training examples for lightweight “student” models.
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January 18, 2023On natural-language-understanding tasks, student models trained only on task-specific data outperform those trained on a mix that includes generic data.
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February 4 - 10, 2023
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February 7 - 14, 2023
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February 27 - March 3, 2023
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January 12, 2023The collaboration, housed in the College of Engineering, includes funds for faculty research projects, with an initial focus on AI, robotics, and operations research.
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January 09, 2023Mehrdad Mahdjoubi, founder and CEO of Alexa Fund portfolio company, explains ‘no compromise’ approach to saving resources without sacrificing user experience.
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January 05, 2023How an AWS customer uses Lookout for Vision to build custom computer vision models to automate quality inspection and detect defects.
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December 30, 2022From the remarkable story of Josh Miele and his passion for improving accessibility, to the challenges overcome by scientists and engineers getting Alexa to work in space, these five stories touched both emotional and intellectual chords.
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2023In order to identify expertise, forecasters should not be tested by their calibration score, which can always be made arbitrarily small, but rather by their Brier score. The Brier score is the sum of the calibration score and the refinement score; the latter measures how good the sorting into bins with the same forecast is, and thus attests to “expertise.” This raises the question of whether one can gain
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AEA 2023, NABE 20232023In order to improve prices at Amazon, we created Pricing Labs, a price experimentation platform. Since we do not price discriminate, we must run product-randomized experiments. We discuss how we randomize to prevent spillovers, run different experimental designs (i.e., crossovers) to improve precision, and control for demand trends and differences in treatment groups to get more precise treatment effect
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DCC 20232023Incorporating neural networks into a video codec as an in-loop filter has been shown to provide significant improvements in coding efficiency. Unfortunately, the computational complexity associated with the neural network, specifically the number of multiply-accumulate (MAC) operations, makes these approaches intractable in practice. In this paper, we consider using a multiscale approach to reduce complexity
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For service robots to become general-purpose in everyday household environments, they need not only a large library of primitive skills, but also the ability to quickly learn novel tasks specified by users. Fine-tuning neural networks on a variety of downstream tasks has been successful in many vision and language domains, but research is still limited on transfer learning between diverse long-horizon tasks
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CHIIR 20232023Open-domain question answering (OpenQA) research has grown rapidly in recent years. However, OpenQA usability evaluation in its real world applications is largely left under studied. In this paper, we evaluated the actual user experience of OpenQA model deployed in a large tech company’s production enterprise search portal. From qualitative query log analysis and user interviews, our preliminary findings
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December 23, 2022Program focuses on diversifying tech-industry talent.
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December 21, 2022Fifth challenge adds new elements and features four new competitors for the $1 million research grant.
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December 16, 2022University of Wisconsin-Madison associate professor and ARA recipient has authored a series of pioneering papers on real-time object instance segmentation.
Working at Amazon
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December 20, 2022Ariadna Sanchez, a scientist who works in polyglot text to speech, draws on her musical background to help find novel solutions.
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December 13, 2022Amazon Machine Learning Fellow Jiao Sun works on strategies to control text generation.
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November 09, 2022At Amazon, he develops machine learning models to help keeping Amazon stores safe and trustworthy for customers and selling partners.