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Palantir Advocates for Balanced Data Privacy Legislation in RFI Response

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Editor’s Note: This blog post highlights Palantir’s response to a Request for Information from the House Energy and Commerce Committee’s Privacy Working Group, which is exploring the creation of a national data privacy law. For more information about Palantir’s contributions to AI Policy, visit our website here. Introduction In April, Palantir submitted a response to a …

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Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

By Alex Hutter, Alexandre Bertails, Claire Wang, Haoyuan He, Kishore Banala, Peter Royal, Shervin Afshar As Netflix’s offerings grow — across films, series, games, live events, and ads — so does the complexity of the systems that support it. Core business concepts like ‘actor’ or ‘movie’ are modeled in many places: in our Enterprise GraphQL Gateway powering internal apps, in …

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Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this …

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Cloud CISO Perspectives: How Google secures AI Agents

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Welcome to the first Cloud CISO Perspectives for June 2025. Today, Anton Chuvakin, security advisor for Google Cloud’s Office of the CISO, discusses a new Google report on securing AI agents, and the new security paradigm they demand. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud …

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Less is more: Efficient pruning for reducing AI memory and computational cost

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Deep learning and AI systems have made great headway in recent years, especially in their capabilities of automating complex computational tasks such as image recognition, computer vision and natural language processing. Yet, these systems consist of billions of parameters and require great memory usage as well as expensive computational cost.

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Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases

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Adobe Inc. excels in providing a comprehensive suite of creative tools that empower artists, designers, and developers across various digital disciplines. Their product landscape is the backbone of countless creative projects worldwide, ranging from web design and photo editing to vector graphics and video production. Adobe’s internal developers use a vast array of wiki pages, …

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