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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS. Conclusion.

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A year of funded FreeBSD development

Hacker News

Finally — and this issue was one I caught promptly as a result of including boot performance in my weekly testing — in December 2024 I updated the net/aws-ec2-imdsv2-get port to support IPv6. ZFS images promptly dropped from ~22 seconds down to ~11 seconds of boot time.

AWS 105
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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Database 101
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How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

Flipboard

To remain competitive, capital markets firms are adopting Amazon Web Services (AWS) Cloud services across the trade lifecycle to rearchitect their infrastructure, remove capacity constraints, accelerate innovation, and optimize costs. This integration has resulted in a potent asset for both Clearwater customers and their internal teams.

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Customizing coding companions for organizations

AWS Machine Learning Blog

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. She received her PhD from Virginia Tech in 2017.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU.

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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

AWS Machine Learning Blog

Fortunately, generative AI-powered developer assistants like Amazon Q Developer have emerged to help data scientists streamline their workflows and fast-track ML projects, allowing them to save time and focus on strategic initiatives and innovation. Amazon Q Developer uses AI to provide code recommendations, and this is non-deterministic.

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