How Amazon is helping transform plastics through innovation in materials, recycling technology, sortation, and more.
With Alexa Arena, developers can create simulated missions in which humans interact with virtual robots, providing a natural way to build generalizable AI models.
Unique end-of-arm tools with three-dimensional force sensors and innovative control algorithms enable robotic arms to “pick” items from and “stow” items in fabric storage pods.
Data augmentation, novel loss functions, and weakly supervised training enable a state-of-the art model for recognizing mispronunciations.
We introduce Alexa Arena, a user-centric simulation platform to facilitate research in building assistive conversational embodied agents. Alexa Arena features multi-room layouts and an abundance of interactable objects. With user-friendly graphics and control mechanisms, the platform supports the…
The Amazon AGI SF Lab will focus on developing new foundational capabilities for enabling useful AI agents.
El aumento de datos, novedosas funciones de pérdidas y un entrenamiento con poca supervisión permiten crear un modelo innovador para detectar errores de pronunciación.
As Generative AI (Gen-AI) continues to evolve rapidly, its potential to transform supply chain operations remains largely unexplored. Narrowing in on retail supply chain, this paper presents a taxonomy diagram that categorizes trends in Gen-AI adoption across various functions thereby mapping…
Supply chain operations generate vast amounts of operational data; however, critical knowledge—such as system usage practices, troubleshooting workflows, and resolution techniques—often remains buried within unstructured communications like support tickets, emails, and chat logs. While…