Favorite This post is written by Chaim Rand, Principal Engineer, Pini Reisman, Software Senior Principal Engineer, and Eliyah Weinberg, Performance and Technology Innovation Engineer, at Mobileye. The Mobileye team would like to thank Sunita Nadampalli and Guy Almog from AWS for their contributions to this solution and this post. Mobileye

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Shared by AWS Machine Learning November 26, 2025

Favorite This post was co-written with Andrew Browning, Anthony Doolan, Jerome Ronquillo, Jeff Burke, Chiheb Boussema, and Naisha Agarwal from UCLA. The University of California, Los Angeles (UCLA) is home to 16 Nobel Laureates and has been ranked the #1 public university in the United States for 8 consecutive years.

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Shared by AWS Machine Learning November 26, 2025

Favorite Organizations are increasingly seeking to enhance customer experiences through natural, responsive voice interactions across their telephony systems. Amazon Nova Sonic addresses this need as a speech-to-speech generative AI model that delivers real-time voice conversations with low latency and natural turn-taking. It understands speech across different accents and speaking styles,

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Shared by AWS Machine Learning November 26, 2025

Favorite This post is co-written with Bob Boiko, Christopher Donnellan, and Sarat Tatavarthi from Condé Nast. For over a century, Condé Nast has stood at the forefront of global media, shaping culture and conversation through its prestigious portfolio of brands. Founded in 1909, the company has evolved from a traditional

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Shared by AWS Machine Learning November 26, 2025

Favorite As enterprises rapidly adopt AI agents to automate workflows and enhance productivity, they face a critical scaling challenge: managing secure access to thousands of tools across their organization. Modern AI deployments no longer involve a handful of agents calling a few APIs—instead, enterprises are building unified AI platforms where

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Shared by AWS Machine Learning November 26, 2025

Favorite Generative AI has created unprecedented opportunities for Canadian organizations to transform their operations and customer experiences. We are excited to announce that customers in Canada can now access advanced foundation models including Anthropic’s Claude Sonnet 4.5 and Claude Haiku 4.5 on Amazon Bedrock through cross-Region inference (CRIS). This post

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Shared by AWS Machine Learning November 25, 2025

Favorite We are excited to announce the general availability of GPU partitioning with Amazon SageMaker HyperPod, using NVIDIA Multi-Instance GPU (MIG). With this capability you can run multiple tasks concurrently on a single GPU, minimizing wasted compute and memory resources that result from dedicating entire hardware (for example, entire GPUs) to tasks

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Shared by AWS Machine Learning November 25, 2025

Favorite In our previous post, Transforming the physical world with AI: the next frontier in intelligent automation, we explored how the field of physical AI is redefining a wide range of industries including construction, manufacturing, healthcare, and agriculture. Now, we turn our attention to the complete development lifecycle behind this technology

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Shared by AWS Machine Learning November 25, 2025

Favorite This post is written by Nukul Sharma, Machine Learning Engineering Manager, and Karthik Dasani, Staff Machine Learning Engineer, at Warner Bros. Discovery. Warner Bros. Discovery (WBD) is a leading global media and entertainment company that creates and distributes the world’s most differentiated and complete portfolio of content and brands

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Shared by AWS Machine Learning November 25, 2025

Favorite In 2025, generative AI has evolved from text generation to multi-modal use cases ranging from audio transcription and translation to voice agents that require real-time data streaming. Today’s applications demand something more: continuous, real-time dialogue between users and models—the ability for data to flow both ways, simultaneously, over a

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Shared by AWS Machine Learning November 25, 2025