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Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1

Enterprises in regulated industries often need mathematical certainty that every AI response complies with established policies and domain knowledge. Regulated industries can’t use traditional quality assurance methods that test only a statistical sample of AI outputs and make probabilistic assertions about compliance. When we launched Automated Reasoning checks in Amazon Bedrock Guardrails in preview at …

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Cloud CISO Perspectives: AI as a strategic imperative to manage risk

Welcome to the second Cloud CISO Perspectives for October 2025. Today, Jeanette Manfra, senior director, Global Risk and Compliance, shares her thoughts on the role of AI in risk management. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website …

SEMORec: A Scalarized Efficient Multi-Objective Recommendation Framework

Recommendation systems in multi-stakeholder environments often require optimizing for multiple objectives simultaneously to meet supplier and consumer demands. Serving recommendations in these settings relies on efficiently combining the objectives to address each stakeholder’s expectations, often through a scalarization function with pre-determined and fixed weights. In practice, selecting these weights becomes a consequent problem. Recent work …

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Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore Browser

AI agents need to browse the web on your behalf. When your agent visits a website to gather information, complete a form, or verify data, it encounters the same defenses designed to stop unwanted bots: CAPTCHAs, rate limits, and outright blocks. Today, we are excited to share that AWS has a solution. Amazon Bedrock AgentCore …

Toward Machine Interpreting: Lessons from Human Interpreting Studies

Current speech translation systems, while having achieved impressive accuracies, are rather static in their behavior and do not adapt to real-world situations in ways human interpreters do. In order to improve their practical usefulness and enable interpreting-like experiences, a precise understanding of the nature of human interpreting is crucial. To this end, we discuss human …

Improving Language Model Personas via Rationalization with Psychological Scaffolds

Language models prompted with a user description or persona are being used to predict the user’s preferences and opinions. However, existing approaches to building personas mostly rely on a user’s demographic attributes and/or prior judgments, but not on any underlying reasoning behind a user’s judgments. We introduce PB&J (Psychology of Behavior and Judgments), a framework …

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AI Infrastructure and Ontology

Under the Hood of NVIDIA and Palantir Turning Enterprise Data into Decision Intelligence On Tuesday, October 28 in Washington, DC, NVIDIA founder and CEO Jensen Huang announced our partnership and how we’ll be making NVIDIA models available through Palantir AIP — and pushing Ontology to the edge through NVIDIA’s accelerated compute. “Palantir and NVIDIA share a vision that …

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Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR

This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical …

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The Blueprint: How Giles AI transforms medical research with conversational AI

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work.  The challenge:  Giles AI is a London-based startup that helps healthcare and life sciences organizations …