AI

Streamline grant proposal reviews using Amazon Bedrock

Government and non-profit organizations evaluating grant proposals face a significant challenge: sifting through hundreds of detailed submissions, each with unique merits, to identify the most promising initiatives. This arduous, time-consuming process is typically the first step in the grant management process, which is critical to driving meaningful social impact. The AWS Social Responsibility & Impact […]

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How Aetion is using generative AI and Amazon Bedrock to unlock hidden insights about patient populations

The real-world data collected and derived from patient journeys offers a wealth of insights into patient characteristics and outcomes and the effectiveness and safety of medical innovations. Researchers ask questions about patient populations in the form of structured queries; however, without the right choice of structured query and deep familiarity with complex real-world patient datasets,

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both developers and end-users. DeepSeek AI, a

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Generative AI operating models in enterprise organizations with Amazon Bedrock

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing, translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in

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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

If you’ve watched cartoons like Tom and Jerry, you’ll recognize a common theme: An elusive target avoids his formidable adversary. This game of “cat-and-mouse” — whether literal or otherwise — involves pursuing something that ever-so-narrowly escapes you at each try. In a similar way, evading persistent hackers is a continuous challenge for cybersecurity teams. Keeping

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MIT students’ works redefine human-AI collaboration

Imagine a boombox that tracks your every move and suggests music to match your personal dance style. That’s the idea behind “Be the Beat,” one of several projects from MIT course 4.043/4.044 (Interaction Intelligence), taught by Marcelo Coelho in the Department of Architecture, that were presented at the 38th annual NeurIPS (Neural Information Processing Systems)

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New training approach could help AI agents perform better in uncertain conditions

A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user’s kitchen, since this new environment differs from its training space. To avoid this, engineers often try to match the simulated training environment as closely as possible with

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Develop a RAG-based application using Amazon Aurora with Amazon Kendra

Generative AI and large language models (LLMs) are revolutionizing organizations across diverse sectors to enhance customer experience, which traditionally would take years to make progress. Every organization has data stored in data stores, either on premises or in cloud providers. You can embrace generative AI and enhance customer experience by converting your existing data into

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