Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents
This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a powerful way to boost audience engagement and extend content value for content publishers. These short, high-impact clips capture key moments that drive viewer retention, amplify reach across social media, reinforce brand identity, and open new …
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Build with more flexibility: New open models arrive in the Vertex AI Model Garden
In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in Vertex AI Model Garden. Following the addition of Llama 4 models earlier this year, we are announcing DeepSeek R1 is available for everyone …
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PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such as Prio. These systems are typically used to aggregate vectors such as gradients in private federated learning, where the aggregate itself is protected via noise addition to ensure differential privacy. Existing approaches require communication scaling with the dimensionality, and thus …
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Behind the Streams: Live at Netflix. Part 1
Behind the Streams: Three Years Of Live at Netflix. Part 1. By Sergey Fedorov, Chris Pham, Flavio Ribeiro, Chris Newton, and Wei Wei Many great ideas at Netflix begin with a question, and three years ago, we asked one of our boldest yet: if we were to entertain the world through Live — a format almost as old as …
Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store
Amazon Bedrock Knowledge Bases has extended its vector store options by enabling support for Amazon OpenSearch Service managed clusters, further strengthening its capabilities as a fully managed Retrieval Augmented Generation (RAG) solution. This enhancement builds on the core functionality of Amazon Bedrock Knowledge Bases , which is designed to seamlessly connect foundation models (FMs) with …
How to enable real time semantic search and RAG applications with Dataflow ML
Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post, we’ll show you how to create and retrieve embeddings with a few lines of Dataflow ML code to enable both of these …
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Build AI-driven policy creation for vehicle data collection and automation using Amazon Bedrock
Vehicle data is critical for original equipment manufacturers (OEMs) to drive continuous product innovation and performance improvements and to support new value-added services. Similarly, the increasing digitalization of vehicle architectures and adoption of software-configurable functions allow OEMs to add new features and capabilities efficiently. Sonatus’s Collector AI and Automator AI products address these two aspects …
Get better at getting better: Take the 2025 DORA survey
In the fast-paced world of AI, it can be challenging to pause and reflect on how we work. Yet this reflection is the cornerstone of continuous improvement. The 2025 DORA survey offers a unique opportunity for you and your team to do just that. By taking just 10-15 minutes to participate before July 18, you …
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Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis
The rapid progress of foundation models and large language models (LLMs) has fueled significantly improvement in the capabilities of machine learning systems that benefit from mutlimodal input data. However, existing multimodal models are predominantly built on top of pre-trained LLMs, which can limit accurate modeling of temporal dependencies across other modalities and thus limit the …
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