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Domenico Giannone’s never-ending drive to learn more from economic data
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When Domenico Giannone decided to study statistics as an undergrad at Sapienza Università di Roma in the early 1990s, he didn’t fully understand what the ...

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U.S. National Science Foundation, in collaboration with Amazon, announces latest Fairness in AI grant projects
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In 2019, the U.S. National Science Foundation (NSF) and Amazon announced a collaboration — the Fairness in AI program — to strengthen and ...

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Automated reasoning at Amazon: A conversation
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The Federated Logic Conference (FLoC) is a superconference that, like the Olympics, happens every four years. FLoC draws together 12 distinct conferences on ...

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How the Zoox robotaxi predicts everything, everywhere, all at once
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We humans often lament that we cannot predict the future, but perhaps we don’t give ourselves quite enough credit. With sufficient practice, our short-term ...

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Reid Blackman: The ethics of AI
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When Diya Wynn, a senior practice manager in Amazon’s Emerging Technologies and Intelligent Platforms group, created Amazon Web Services’ (AWS) responsible ...

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Amazon and University of Washington announce inaugural Science Hub faculty research awards
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The UW + Amazon Science Hub, founded in February 2022 and housed in the University of Washington College of Engineering, has announced the recipients of its ...

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KDD: Graph neural networks, fairness, and inclusivity
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As general chair of this year’s ACM Conference on Knowledge Discovery and Data Mining (KDD), Huzefa Rangwala, a senior manager at the Amazon Machine ...

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Erran Li receives 2022 SIGMOBILE test-of-time award
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Erran Li, an applied scientist with Amazon Web Services, was recently awarded the 2022 SIGMOBILE test-of-time award for "Argos: Practical many-antenna base ...

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Amazon wins contest to control “formality” in machine translation
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In a recent shared task at the International Conference on Spoken Language Translation (IWSLT), titled Formality Control for Machine Translation, the ...

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Ying Ding’s human-centered approach to AI-enhanced medical imaging diagnosis
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Even before the COVID-19 pandemic, health care capacity in the United States was strained, with not enough medical professionals to meet growing demand. ...

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Scaling graph-neural-network training with CPU-GPU clusters
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Graphs are a useful way to represent data, since they capture connections between data items, and graph neural networks (GNNs) are an increasingly popular ...

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A billion SMT queries a day
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At this year’s Computer-Aided Verification (CAV) conference — a leading automated-reasoning conference collocated with the Federated Logic Conferences ...

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