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Corporations, banks, hospitals, and academic institutions all rely on wide-area networks (WANs) to connect their local networks across geographic regions. Within a WAN, however, it’s often necessary to isolate different computational resources from each other: for example, coding environments used to test new website features should remain separate from active websites. Customer...

Much of the data that businesses run on lives in tables: the rows might represent customers, transactions, or interactions, and their “attributes” are listed in the columns. Predicting missing attributes — such as likelihood of customer retention or how much demand to expect next week — is one of the most common machine learning tasks in industry. The standard tools for this job...

In Naples last month, at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Amazon senior applied scientist Hamed Karimi and colleagues won the 2026 ECML PKDD Test-of-Time Award for their 2016 paper “Linear convergence of gradient and proximal-gradient methods under the Polyak–Łojasiewicz condition”. The award...

Travel platforms serve millions of daily users by answering questions about destinations, offering hotel recommendations, and helping users plan their trips. In recent years, many platforms have turned to large language models (LLMs) to improve these services. The LLMs give accurate, contextually relevant travel advice thanks to their size: they typically have tens of billions o...

Text-to-speech systems — which convert written text into synthetic speech — display impressive naturalness in applications such as chatbots and virtual assistants, where interactions last seconds. But they tend not to fare as well with longer-form content. When applied to audiobooks, for instance, conventional text-to-speech (TTS) models fail to reliably change speaking style be...