Customer-obsessed science
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November 18, 2022Targeted handling of three distinct types of “special events” dramatically reduces false-alarm rate.
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November 17, 2022In 2022, the Alexa Trustworthy AI team helped organize a workshop at NAACL and a special session at Interspeech.
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November 15, 2022Models that map spoken language to objects in an image would make it easier for customers to communicate with multimodal devices.
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November 28 - December 9, 2022
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December 7 - 11, 2022
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January 3 - 7, 2023
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November 18, 2022The Amazon Fellows fulfill the Science Hub for Humanity and Artificial Intelligence's mission of researching the societal impact of artificial intelligence
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November 16, 2022Amazon yesterday announced its picks for 2022 Best Books of the Year So Far, including its top book within the general-interest science category, “Stolen Focus: Why You Can’t Pay Attention — and How to Think Deeply Again”.
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November 16, 2022From physical constraints to acoustic challenges, learn how Amazon collaborated with NASA and Lockheed Martin to get Alexa to work in space.
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November 15, 2022Teaching robots to stow items presents a challenge so large it was previously considered impossible — until now.
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VLDB 20232023Existing general purpose frameworks for gigantic model training, i.e., dense models with billions of parameters, cannot scale efficiently on cloud environment with various networking conditions due to large communication overheads. In this paper, we propose MiCS, which Minimizes the Communication Scale to bring down communication overhead. Specifically, by decreasing the number of participants in a communication
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2023Product dimension is a crucial piece of information enabling customers make better buying decisions. Ecommerce websites extract dimension attributes to enable customers filter the search results according to their requirements. The existing methods extract dimension attributes from textual data like title and product description. However, this textual information often exists in an ambiguous, disorganized
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2023Open-set logo recognition is commonly solved by first detecting possible logo regions and then matching the detected parts against an ever-evolving dataset of cropped logo images. The matching model, a metric learning problem, is especially challenging for logo recognition due to the mixture of text and symbols in logos. We propose two novel contributions to improve the matching model’s performance: (a)
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2023Detecting commercial Ads from a video is important. For example, the commercial break frequency and duration are two metrics to measure the user experience for streaming service providers such as Amazon Freevee. The detection can be done intrusively by intercepting the network traffic and then parsing the service providers data and logs, or non-intrusively by capturing the videos streamed by content providers
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2023Accurate per-pixel semantic class annotations of the entire video are crucial for designing and evaluating video semantic segmentation algorithms. However, the annotations are usually limited to a small subset of the video frames due to the high annotation cost and limited budget in practice. In this paper, we propose a novel human-in-the-loop framework called HVSA to generate semantic segmentation annotations
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October 10, 2022Awardees represent more than 30 universities in eight countries. Recipients have access to Amazon public datasets, along with AWS AI/ML services and tools.
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September 22, 2022University teams are invited to compete to build multimodal conversational agents that assist customers in completing tasks requiring multiple steps.
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September 16, 2022The submission period deadline has been extended to October 26.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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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.
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October 31, 2022With quantum computers poised to take a big step forward, we speak to an Amazon Scholar who has spent two decades driving the technology to realize its enormous potential.
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August 29, 2022After 15 years in academia, Alp Muharremoglu became a senior principal scientist within Amazon’s Supply Chain Optimization Technologies organization, and says his teaching skills are indispensable.