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Fast-Coresets: A Nearly-Linear Time Algorithm for Efficient Clustering

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:::info Authors: (1) Andrew Draganov, Aarhus University and All authors contributed equally to this research; (2) David Saulpic, Université Paris Cité & CNRS; (3) Chris Schwiegelshohn, Aarhus University. ::: Table of Links Abstract and 1 Introduction 2 Preliminaries and Related Work 2.1 On Sampling Strategies 2.2 Other Coreset Strategies 2.3 Coresets for Database Applications 2.4 … Read more

Make Big Data More Manageable with Smart Sampling

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:::info Authors: (1) Andrew Draganov, Aarhus University and All authors contributed equally to this research; (2) David Saulpic, Université Paris Cité & CNRS; (3) Chris Schwiegelshohn, Aarhus University. ::: Table of Links Abstract and 1 Introduction 2 Preliminaries and Related Work 2.1 On Sampling Strategies 2.2 Other Coreset Strategies 2.3 Coresets for Database Applications 2.4 … Read more

AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect

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Providing effective multilingual customer support in global businesses presents significant operational challenges. Through collaboration between AWS and DXC Technology, we’ve developed a scalable voice-to-voice (V2V) translation prototype that transforms how contact centers handle multi-lingual customer interactions. In this post, we discuss how AWS and DXC used Amazon Connect and other AWS AI services to deliver … Read more

How automotive exec Crystal Brown founded CircNova, an AI drug discovery biotech

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Tiny Michigan biotech startup CircNova has raised a $3.3 million seed round for its technology that uses AI to target so-called “circular RNA.” The development holds promise as a new method to quickly develop therapies for conditions that currently have no drug treatments. The new funding is also a victory lap for co-founder and CEO … Read more

Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

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Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. Generative AI foundation models (FMs), with their ability to understand context and make decisions, are becoming powerful partners in solving sophisticated business problems. At AWS, we’re using the power of models in Amazon Bedrock to drive automation of … Read more

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

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Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucination—producing responses that sound convincing but are factually incorrect. While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. Retrieval Augmented Generation (RAG) techniques … Read more

LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

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Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. It is a continuous process to keep the fine-tuned model accurate and effective in changing environments, to adapt to the data distribution shift (concept drift) and prevent performance degradation … Read more

Maximize your file server data’s potential by using Amazon Q Business on Amazon FSx for Windows

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Organizations need efficient ways to access and analyze their enterprise data. Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. It provides immediate, relevant information while streamlining tasks and accelerating problem-solving. Amazon FSx for Windows File Server is … Read more

Report: AI coding assistants aren’t a panacea

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As they gain in popularity, AI coding assistants such as GitHub Copilot may appear to be boosting productivity. But in reality, they could be causing overall code quality to decline. That’s the top-line finding from a new report released by software engineering platform GitClear, which analyzed 211 million code lines from 2020 to 2024. According … Read more