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Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation

AWS supports trusted identity propagation, a feature that allows AWS services to securely propagate a user’s identity across service boundaries. With trusted identity propagation, you have fine-grained access controls based on a physical user’s identity rather than relying on IAM roles. This integration allows for the implementation of access control through services such as Amazon …

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An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing infrastructure hit critical limitations. Their solution? A strategic shift to Google Cloud TPUs using the JAX framework that not only solved their …

We Live in an AI-First World

We Live in an AI-First WorldSearch is ChangingThe Web is ChangingCreativity is BoostedCommunication with AIDigital CompanionshipSmarter Minds Benefiting MoreAccess vs Lack of AccessBusiness and Workflows on AutopilotBetter Education Tailored to the IndividualBetter HealthLiving in an AI-First World Technology has always shaped how we interact with information, with each era defined by a clear “first.” In …

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations

This paper was accepted at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025 Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led to numerous applications using time-frequency (TF) representations like the Short-Time …

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ML Observability: Bringing Transparency to Payments and Beyond

By Tanya Tang, Andrew Mehrmann At Netflix, the importance of ML observability cannot be overstated. ML observability refers to the ability to monitor, understand, and gain insights into the performance and behavior of machine learning models in production. It involves tracking key metrics, detecting anomalies, diagnosing issues, and ensuring models are operating reliably and as intended. …

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Create a travel planning agentic workflow with Amazon Nova

Traveling is enjoyable, but travel planning can be complex to navigate and a hassle. Travelers must book accommodations, plan activities, and arrange local transportation. All these decisions can feel overwhelming. Although travel professionals have long helped manage these complexities, recent breakthroughs in generative AI have made something entirely new possible—intelligent assistants that can understand natural …

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Google is a Leader and positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms

Google has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms (CAIP) report, and positioned furthest in vision among all vendors evaluated. We believe this report marks a pivotal moment for enterprise leaders, signaling a market shift where having a strong vision is no longer an abstract concept but the …

Vibe Coding is Shoot-and-Forget Coding

TL;DR Vibe coding is great for quick hacks; lasting software still needs real engineers. Vibe coding, the trend of using AI to generate code by describing what you want in natural language, has been hailed as the future of programming. Coined by AI pioneer Andrej Karpathy in early 2025, the term refers to “fully giv[ing] …

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Scaling On-Prem Security at Palantir

How Insight, Foundry & Apollo Keep Thousands of Servers in Check Introduction When it comes to Palantir’s on-premises offerings, security is paramount. We run production software everywhere — from hyperscaler public clouds, to customer-owned data centers that will never interact with the public internet, to edge environments that move around the globe — and tailor our security to each environment. …

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as …