Customer-obsessed science
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November 08, 2022Eliminating the need for annotation makes bias testing much more practical. -
November 03, 2022Tim Kraska, who joined Amazon this summer to build the new Learned Systems research group, explains the power of “instance optimization”.
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November 01, 2022By plotting nonlinear trajectories through a GAN’s latent space, the method enables certain image attributes to vary while others are held fixed.
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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 10, 2022New approach can cut the setup time required to develop vision-based machine learning solutions from between six to twelve months to one or two.
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November 04, 2022The work of Lehmann and three co-authors helped demonstrate the feasibility of large-scale virtual knowledge graphs.
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November 02, 2022Students will receive funding to pursue independent research projects in robotics and adjacent areas in AI.
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KU Leuven — Filip Van LoockNovember 01, 2022Prize recognizes pioneering work in statistical methodology, and aims to raise awareness of the impact of statistics on society.
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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.
