Customer-obsessed science


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August 11, 2022The general chair of this year’s Conference on Knowledge Discovery and Data Mining on what excites him most about the conference program.
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August 08, 2022To mark the occasion of the eighth Federated Logic Conference (FloC), Amazon’s Byron Cook, Daniel Kröning, and Marijn Heule discussed automated reasoning’s prospects.
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August 03, 2022Paper presents a criterion for halting the hyperparameter optimization process.
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August 14 - 18, 2022
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August 29 - September 1, 2022
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September 18 - 22, 2022
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August 12, 2022Li and co-authors honored for creating an antenna design that was essential to the growth of mobile devices.
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August 10, 2022The author of Ethical Machines explains why companies pursuing ethical AI must ultimately place the responsibility with their senior leadership.
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August 09, 2022A combination of cutting-edge hardware, sensor technology, and bespoke machine learning approaches can predict trajectories of vehicles, people, and even animals, as far as 8 seconds into the future.
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August 01, 2022McKeown awarded IEEE Innovation in Societal Infrastructure Award and named a member of the American Philosophical Society.
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2022Recent studies have demonstrated the ability of auto-regressive and seq-to-seq generative models to reach state-of-the-art performance on various Natural Language Understanding (NLU) and Natural Language Processing (NLP) tasks. They operate by framing all the tasks in a single formulation: text auto-completion or text-to-text encoding-decoding. These models can be trained on the products corpus in order
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2022In recent years, the dominant paradigm for text spotting is to combine the tasks of text detection and recognition into a single end-to-end framework. Under this paradigm, both tasks are accomplished by operating over a shared global feature map extracted from the input image. Among the main challenges that end-to-end approaches face is the performance degradation when recognizing text across scale variations
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2022We present MaCLR, a novel method to explicitly perform cross-modal self-supervised video representations learning from visual and motion modalities. Compared to previous video representation learning methods that mostly focus on learning motion cues implicitly from RGB inputs, MaCLR enriches standard contrastive learning objectives for RGB video clips with a cross-modal learning objective between a Motion
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2022Revenue forecasting for large business organizations is a challenging but important problem. As a multinational business organization, Bosch has an estimated 2,000,000+ time series capturing monthly financial key figures at multiple organizational and product hierarchies, which are forecasted every month into the future 12 month horizon to inform financial and resource planning. To address this challenge
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2022In this work, we demonstrate that multilingual large-scale sequence-to-sequence (seq2seq) models, pre-trained on a mixture of denoising and Causal Language Modeling (CLM) tasks, are more efficient few-shot learners than decoder-only models on various tasks. In particular, we train a 20 billion parameter multilingual seq2seq model called Alexa Teacher Model (AlexaTM 20B) and show that it achieves state-of-the-art
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August 10, 2022Six UW professors will advance artificial intelligence and robotics research with new grants.
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August 08, 2022Thirteen new projects focus on ensuring fairness in AI algorithms and the systems that incorporate them.
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July 25, 2022Prem Natarajan, Alexa AI vice president of natural understanding, visited the campus to engage with young STEM researchers from historically underrepresented backgrounds.
Working at Amazon
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August 05, 2022How the Amazon Supply Chain Optimization Technologies principal economist uses his expertise in time series econometrics to forecast aggregate demand.
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August 04, 2022How Jared Wilber is using his skills as a storyteller and data scientist to help others learn about machine learning.
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July 28, 2022Donato Crisostomi talks about how his mother helped spark a love of knowledge that led him to two science internships at Amazon.