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Recent advancements in AI-driven cybersecurity have led to the development of numerous models that integrate ML and DL for IDS and IPS. However, these models still...
In many of today’s industrial and online applications, identifying anomalies — rare, unexpected events — in real-time data streams is essential. Anomalies can indicate manufacturing defects,...
Anomaly detection seeks to identify behaviors that lie outside statistical norms. Anomalies could indicate some kind of malicious activity, such as attempts to crack a website...
Visual product inspection is crucial in manufacturing, retail, and many other industries. Shipping damaged items erodes customer trust and incurs additional costs for refunds or replacements....
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...
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,...
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 Amazon...
As the director of the University of Florida Informatics Institute, George Michailidis, who is also an Amazon Scholar on the Supply Chain Optimization Technologies (SCOT) team,...
Amazon’s annual internal science conference, designed to showcase advancements in the application of machine learning across the breadth of the company’s businesses, and to foster greater...
Christos Faloutsos, the Fredkin Professor of Artificial Intelligence within the Computer Science Department at Carnegie Mellon University (CMU) and an Amazon Scholar, was recently awarded the “Most...