Customer-obsessed science
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May 10, 2024Using large language models to discern commonsense relationships can improve performance on downstream tasks by as much as 60%.
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April 30, 2024Using causal random forests and Bayesian structural time series to extrapolate from sparse data ensures that customers get the most useful information as soon as possible.
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April 16, 2024First model to work across a wide range of products uses a second U-Net encoder to capture fine-grained product details.
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May 13 - 17, 2024
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May 20 - 25, 2024
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June 9 - 14, 2024
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March 18, 2024
Tokenizing time series data and treating it like a language enables a model whose zero-shot performance matches or exceeds that of purpose-built models. Update: Amazon scientists how now released the training code for Chronos, which is available on GitHub.
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2024This paper introduces a novel problem of automated question generation for courtroom examinations, CourtQG. While question generation has been studied in domains such as educational testing, product description and situation report generation, CourtQG poses several unique challenges owing to its non-cooperative and agenda-driven nature. Specifically, not only the generated questions need to be relevant
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AAAI 2024 Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models (NucLeaR)2024Recent large language models (LLMs) have enabled tremendous progress in natural-language understanding. However, they are prone to generate confident but nonsensical reasoning chains, a significant obstacle to establishing trust with users. In this work, we aim to incorporate rich human feedback on such incorrect model generated reasoning chains for multi-hop reasoning to improve performance on these tasks
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Field Robotics2024For autonomous ground vehicles (AGVs) deployed in suburban neighborhoods and other human-centric environments the problem of localization remains a fundamental challenge. There are well established methods for localization with GPS, lidar, and cameras. But even in ideal conditions these have limitations. GPS is not always available and is often not accurate enough on its own, visual methods have difficulty
News and features
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April 26, 2024Awardees, who represent 51 universities in 15 countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.
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April 09, 2024How the team behind Echo Frames delivered longer battery life and improved sound quality inside the slim form factor of a pair of eyeglasses.
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March 21, 2024The principal economist and his team address unique challenges using techniques at the intersection of microeconomics, statistics, and machine learning.