Customer-obsessed science
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May 04, 2022Reducing false positives for rare events, adapting Echo hardware to ultrasound sensing, and enabling concurrent ultrasound sensing and music playback are just a few challenges Amazon researchers addressed.
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April 29, 2022Method that captures advantages of cross-encoding and bi-encoding improves on predecessors by as much as 5%.
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April 28, 2022The team’s latest research on privacy-preserving machine learning, federated learning, and bias mitigation.
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May 22 - 27, 2022
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May 22 - 27, 2022
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April 27, 2022Event’s speaker roster expands for keynotes, innovation spotlights, and leadership sessions.
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April 25, 2022Advanced machine learning systems help autonomous vehicles react to unexpected changes.
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April 18, 2022An advanced perception system, that detects and learns from its own mistakes, enables Robin robots to select individual objects from jumbled packages — at production scale.
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April 15, 2022Professorship named after influential former University of Michigan professor.
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IJCNN 20222022Graph-based collaborative filtering for recommendation has attracted great attention recently, due to its effectiveness of capturing high-order proximity among users and items. To further improve its model robustness and alleviate label-sparsity issue, contrastive learning has been introduced to polish user and item representation by contrasting different views of user/item nodes, learning necessary and
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2022Recent research showed promising results on combining pretrained language models (LMs) with canonical utterance for few-shot semantic parsing. The canonical utterance is often lengthy and complex due to the compositional structure of formal languages. Learning to generate such canonical utterance requires significant amount of data to reach high performance. Fine-tuning with only few-shot samples, the LMs
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2022We present CONSENT, a simple yet effective CONtext SENsitive Transformer framework for context-dependent object classification within a fully-trainable end-to-end deep learning pipeline. We exemplify the proposed framework on the task of bold words detection proving state-of-the-art results. Given an image containing text of unknown font-types (e.g. Arial, Calibri, Helvetica), unknown language, taken under
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2022Large language models have achieved high performance on various question answering (QA) benchmarks, but the explainability of their output remains elusive. Structured explanations, called entailment trees, were recently suggested as a way to explain and inspect a QA system’s answer. In order to better generate such entailment trees, we propose an architecture called Iterative Retrieval-Generation Reasoner
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2022The machine translation (MT) task is typically formulated as that of returning a single translation for an input segment. However, in many cases, multiple different translations are valid and the appropriate translation may depend on the intended target audience, characteristics of the speaker, or even the relationship between speakers. Specific problems arise when dealing with honorifics, particularly
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May 05, 2022The UCLA Science Hub seeks to address challenges to humanity through research using artificial intelligence, bringing together academic and industry scientists.
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February 15, 2022University teams will compete to develop a bot that best responds to customer commands in a virtual world.
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April 07, 2022The JHU + Amazon Initiative for Interactive AI (AI2AI) will be housed in the Whiting School of Engineering.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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May 03, 2022How a math-loving student travelled 7,000 miles to pursue a passion and wound up becoming an applied scientist.
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May 02, 2022Former Amazon intern George Boateng is using machine learning and mobile tech to bridge Africa’s digital divide.
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April 13, 2022The principal research scientist shares lessons learned during her life journey from a small farm to working on optimizing Amazon’s distribution network.