AI

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

Aerospace companies face a generational workforce challenge today. With the strong post-COVID recovery, manufacturers are committing to record production rates, requiring the sharing of highly specialized domain knowledge across more workers. At the same time, maintaining the headcount and experience level of the workforce is increasingly challenging, as a generation of subject matter experts (SMEs)

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images. Trained on the Amazon SageMaker HyperPod, Dream Machine excels in creating consistent characters, smooth

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Control data access to Amazon S3 from Amazon SageMaker Studio with Amazon S3 Access Grants

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon S3) for tasks such as extracting data for model training, logging

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New security protocol shields data from attackers during cloud-based computation

Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally intensive that they require the use of powerful cloud-based servers. This reliance on cloud computing poses significant security risks, particularly in areas like health care, where hospitals may be hesitant to use AI tools

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Improve employee productivity using generative AI with Amazon Bedrock

The Employee Productivity GenAI Assistant Example is a practical AI-powered solution designed to streamline writing tasks, allowing teams to focus on creativity rather than repetitive content creation. Built on AWS technologies like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, this tool automates the creation of customizable templates and supports both text and image inputs.

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Build a multimodal social media content generator using Amazon Bedrock

In today’s digital age, social media has revolutionized the way brands interact with their consumers, creating a need for dynamic and engaging content that resonates with their target audience. There’s growing competition for consumer attention in this space; content creators and influencers face constant challenges to produce new, engaging, and brand-consistent content. The challenges come

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