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Accelerating Video Quality Control at Netflix with Pixel Error Detection

By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar At Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take a lot of time while requiring very little creativity allows our creative partners to devote their time and energy to what …

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Demystifying Amazon Bedrock Pricing for a Chatbot Assistant

“How much will it cost to run our chatbot on Amazon Bedrock?” This is one of the most frequent questions we hear from customers exploring AI solutions. And it’s no wonder — calculating costs for AI applications can feel like navigating a complex maze of tokens, embeddings, and various pricing models. Whether you’re a solution …

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Taming the stragglers: Maximize AI training performance with automated straggler detection

Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component. Training the next-generation large-scale models requires a new class of supercomputer, built by interconnecting tens of thousands of powerful accelerators. …

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Looker debuts MCP Server to broaden AI developer access to data

As companies integrate AI into their workflows, connecting new tools to their existing data while ensuring consistent security and accuracy becomes increasingly important. We’re introducing Looker Model Context Protocol (MCP) Server, an integration in the MCP Toolbox for Databases. This allows AI applications such as chatbots and custom agents to connect to trusted data from …

Adaptive Knowledge Distillation for Device-Directed Speech Detection

Device-directed speech detection (DDSD) is a binary classification task that separates the user’s queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment. Specifically, we introduce a novel adaptive …

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The DIVA logistics agent, powered by Amazon Bedrock

DTDC is India’s leading integrated express logistics provider, operating the largest network of customer access points in the country. DTDC’s technology-driven logistics solutions cater to a wide range of customers across diverse industry verticals, making them a trusted partner in delivering excellence. DTDC Express Limited receives over 400,000 customer queries each month, ranging from tracking …

The Interspeech 2025 Speech Accessibility Project Challenge

While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for individuals with speech disabilities remains inadequate, partly due to limited public training data. To bridge this gap, the 2025 Interspeech Speech Accessibility Project (SAP) Challenge was launched, utilizing over 400 hours of SAP data collected and …

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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative …