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July 19, 2023Predicting the delays caused when robots’ paths intersect can improve task assignment and path planning in warehouses.
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July 13, 2023Based on a survey of thousands of machine learning practitioners, a new CodeGuru extension addresses common problems, such as code cell execution order, incorrect API calls, and security.
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July 12, 2023Data augmentation, novel loss functions, and weakly supervised training enable a state-of-the art model for recognizing mispronunciations.
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July 17 - 22, 2023
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July 24 - 29, 2023
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August 6 - 10, 2023
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July 18, 2023With help from the Alexa Fund, the company is making it easier to virtually reconstruct reality.
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July 14, 2023University teams are competing to advance conversational AI and win the $1 million research grant
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June 30, 2023University teams are competing to build multimodal conversational agents that assist customers in completing tasks requiring multiple steps.
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July 06, 2023The program exposes students to computer science as they create their own Alexa skills.
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Applied Marketing Analytics (AMA)2023Brands usually invest in a portfolio of digital ad products for brand consideration and conversion, and their performance is commonly evaluated with ad - attributed metrics. However, these metrics limit the measurement of advertising effectiveness within a short time window, typically of two weeks. Therefore, they could underestimate the total effect if some ad products' efficacy lasts beyond the measurement
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2023We show that the ability of a neural network to integrate information from diverse sources hinges critically on being exposed to properly correlated signals during the early phases of training. Interfering with the learning process during this initial stage can permanently impair the development of a skill, both in artificial and biological systems where the phenomenon is known as a critical learning period
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Motivated by bid recommendation in online ad auctions, this paper considers a general class of multi-level and multi-agent games, with two major characteristics: one is a large number of anonymous agents, and the other is the intricate interplay between competition and cooperation. To model such complex systems, we propose a novel and tractable bi-objective optimization formulation with mean-field approximation
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Substitute recommendation in e-commerce has attracted increasing attention in recent years, to help improve customer experience. In this work, we propose a multi-task graph learning framework that jointly learns from supervised and unsupervised objectives with heterogeneous graphs. Particularly, we propose a new contrastive method that extracts global information from both positive and negative neighbors
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IEEE ICIP 20232023Convolutional neural networks (CNNs) have shown promising improvements in video coding efficiency when included in traditional block-based codecs as a loop filter. Unfortunately, these coding gains are often accompanied by significant increases in complexity, measured by the number of multiply-accumulate (MAC) operations, that make them intractable in practice. As a result, there is considerable interest
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July 05, 2023Amazon Research Award recipient Shrikanth Narayanan is on a mission to make inclusive human-AI conversational experiences.
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June 07, 2023Team earned $500,000 for its performance in a challenge focused on advancing next-generation virtual assistants that help humans complete real-world tasks by continuously learning.
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May 24, 2023How ARA recipient Supreeth Shashikumar is using machine learning to help hospitals detect sepsis — before it’s too late.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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June 21, 2023The senior applied science manager envisions machine learning as the path to a better experience for Amazon customers.
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April 05, 2023As a senior principal applied scientist at Amazon Web Services, Leino is continuing his career as a leading expert in program verification.
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March 14, 2023Ren Zhang and her team tackle the interesting science challenges behind surfacing the most relevant offerings.