Customer-obsessed science


Research areas
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May 12, 2025How Amazon is helping transform plastics through innovation in materials, recycling technology, sortation, and more.
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Featured news
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ACL 20252025Accurate mapping of queries to product categories is crucial for efficient retrieval and ranking of relevant products in e-commerce search. Conventionally, such query classification models rely on supervised learning using historical user interactions, but their effectiveness diminishes in cold-start scenarios, where new categories or products lack sufficient training data. This results in poor query-to-category
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ACL 20252025Large Language Models (LLMs) enable natural language to SQL conversion, allowing users to query databases without SQL expertise. However, generating accurate, efficient queries is challenging due to ambiguous intent, domain knowledge requirements, and database constraints. Extensive reasoning improves SQL quality but increases computational costs and latency. We propose SQLGenie, a practical system for
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2025This paper presents an integrated robotic system designed for autonomous picking of targeted objects from cluttered and deformable shelves—a critical task in Amazon warehouse operations for processing customer orders. The system addresses common challenges in robotic picking including diverse object handling, densely packed storage, and dynamic inventories. However, shelf-picking introduces additional complexities
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2025This paper presents a compliant manipulation system capable of placing items onto densely packed shelves. The wide diversity of items and strict business requirements for high producing rates and low defect generation have prohibited warehouse robotics from performing this task. Our innovations in hardware, perception, decision-making, motion planning, and control have enabled this system to perform over
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ICME 20252025In adaptive bitrate streaming, resolution cross-over refers to the point on the convex hull where the encoding resolution should switch to achieve better quality. Accurate cross-over prediction is crucial for streaming providers to optimize resolution at given bandwidths. Most existing works rely on objective Video Quality Metrics (VQM), particularly VMAF, to determine the resolution cross-over. However
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