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A quick guide to Amazon’s papers at CVPR 2024
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In the past few years, foundation models and generative-AI models — and particularly, large language models (LLMs) — have become a major topic of AI ...

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Bringing code analysis tools to Jupyter notebooks
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The computational notebook is an interactive, web-based programming interface based on the concept of a lab notebook. Users can describe the computations ...

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Geopipe uses AI to create a digital twin of Earth
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Planet Earth is getting a digital twin.A pair of friends who met during high school in an online forum are now using their PhDs in computer science to ...

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Predicting congestion in fleets of robots
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Many Amazon fulfillment centers use mobile robots to move shelves, retrieve products, and deliver them to workers for sorting, reducing the need for ...

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Teaching language models to reason consistently
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Teaching large language models (LLMs) to reason is an active topic of research in natural-language processing, and a popular approach to that problem is the ...

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A quick guide to Amazon’s papers at ICML
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At this year's International Conference on Machine Learning (ICML), Amazon researchers have several papers on bandit problems and differential privacy, two ...

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Sizing down to scale up: How Amazon reworked its fulfillment network to meet customer demand
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In 2020, Amazon’s retail fulfillment network in the U.S. expanded at a rapid clip. What followed was a dramatic — and swift — operational pivot.This is the ...

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Columbia Center of AI Technology announces four new faculty research awards
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Columbia Engineering and Amazon have announced four new faculty research awards for the Columbia Center of AI Technology (CAIT). The latest round of ...

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How dynamic lookahead improves speech recognition
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Automatic speech recognition (ASR) models, which convert speech into text, come in two varieties, causal and noncausal. A causal model processes speech as ...

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“Helping people stay reliably informed, so they can make good choices: that’s my motivation”
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Once upon a time, we could confidently pull on the threads of information around us and weave them into useful knowledge, because the higher-quality threads ...

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Leveraging transformers to improve product retrieval results
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When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. “Learning to rank” models ...

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KDD 2023: Graph neural networks’ new frontiers
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In 2021 and 2022, when Amazon Science asked members of the program committees of the Knowledge Discovery and Data Mining Conference (KDD) to discuss the ...

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