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 7 - 11, 2024
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May 13 - 17, 2024
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May 20 - 25, 2024
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April 26, 2024
Awardees, 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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2024Recent studies have shown that code language models at scale demonstrate significant performance gains on downstream tasks, i.e., code generation. However, most of the existing works on code representation learning train models at a hundred million parameter scale using very limited pre-training corpora. In this work, we fuel code representation learning with a vast amount of code data via a two-stage pre-training
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2024It is often advantageous to train models on a subset of the available train examples, because the examples are of variable quality or because one would like to train with fewer examples, without sacrificing performance. We present Gradient Information Optimization (GIO), a scalable, task-agnostic approach to this data selection problem that requires only a small set of (unlabeled) examples representing
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There has been remarkable progress in the development of Deep Learning Weather Prediction (DLWP) models, so much so that they are poised to become competitive with traditional numerical weather prediction (NWP) models. Indeed, a wide number of DLWP architectures—based on various backbones, including U-Net, Transformer, Graph Neural Network (GNN), or Fourier Neural Operator (FNO)—have demonstrated their
News and features
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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.
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March 15, 2024The awards support four research projects exploring the intersection of fashion and AI.