Anomaly detection
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How NASA uses AWS to protect life and infrastructure on earth
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In March 1989, strange things began to happen in the US and Canada. The Hydro-Quebec electric grid collapsed within 90 seconds. A strong electric current ...

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Amazon takes top three spots in Audio Anomaly Detection Challenge
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This week at Amazon Web Services’ re:Invent 2020 conference, Amazon announced Amazon Monitron, an end-to-end machine-monitoring system composed of sensors, ...

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Christos Faloutsos awarded PAKDD’s “Most Influential Paper Award”
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Christos Faloutsos, the Fredkin Professor of Artificial Intelligence within the Computer Science Department at Carnegie Mellon University (CMU) and an ...

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Amazon’s annual machine learning conference featured presentations from thought leaders within academia
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Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply ...

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George Michailidis: How to identify important changes in online networks
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As the director of the University of Florida Informatics Institute, George Michailidis, who is also an Amazon Scholar on the Supply Chain Optimization ...

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Former Amazon intern Karsten Roth wins EMVA young professional award
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Karsten Roth, a PhD student at the University of Tübingen, was awarded the EMVA Young Professional Award for work done during his science internship at ...

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How Prime Video distills time series anomalies into actionable alarms
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Prime Video customers must be able to reliably stream content at all times on any device that supports the Prime Video application, such as mobile phones, ...

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Invalidating robotic ad clicks in real time
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Robotic-ad-click detection is the task of determining whether an ad click on an e-commerce website was initiated by a human or a software agent. Its goal is ...

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Making automated visual-inspection systems practical
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Visual product inspection is crucial in manufacturing, retail, and many other industries. Shipping damaged items erodes customer trust and incurs additional ...

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Real-time anomaly detection under distribution drift
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Anomaly detection seeks to identify behaviors that lie outside statistical norms. Anomalies could indicate some kind of malicious activity, such as attempts ...

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