Making global data easier to explore
Favorite Google and the UN system have launched the UN System Data Commons, a new open platform making global statistics accessible and easy to search. View Original Source (blog.google/technology/ai/) Here.
Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation
Favorite Organizations that process thousands of scanned documents daily, including medical forms, insurance claims, and financial records, face a recurring compliance need: personally identifiable information (PII) redaction before documents are shared with third parties or processed downstream. Manual redaction doesn’t scale: It consumes staff hours, introduces human error, and creates
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Shared by AWS Machine Learning September 17, 2026
Optimizing agent system prompts with Amazon Bedrock AgentCore
Favorite In a previous launch post, we introduced AgentCore optimization, a capability of Amazon Bedrock AgentCore that can help you improve the quality of your agents. Improving a low-scoring agent has traditionally been a manual process. You review long traces to find where the agent goes wrong, tune individual components
Read More Shared by AWS Machine Learning September 17, 2026
Fault tolerant distributed training on Amazon EKS using NVRx
Favorite Large-scale distributed training jobs run for hours or days across dozens of nodes. At that scale and duration, interruptions are statistically inevitable: network partitions, memory errors, software exceptions, or infrastructure events will eventually disrupt at least one worker. A single GPU fault triggers a cascade: NVIDIA Collective Communication Library
Read More Shared by AWS Machine Learning September 17, 2026
Improving HCLS AI reasoning with open-source agent skills
Favorite AI agents built on foundation models (FMs) often misapply healthcare and life sciences (HCLS) decision frameworks, even when they’ve seen the guidelines in training and in the system prompt. Ask an agent to classify a TP53 missense variant using ACMG/AMP criteria. It will cite the correct framework but misapply
Read More Shared by AWS Machine Learning September 17, 2026
Linux’s 35th Anniversary and the Open Frontier
Favorite Members Newsletter – September 2026 Dear OSI community, I’d be remiss if I didn’t open by wishing Linux a happy 35th birthday. I can’t pretend to have accomplished nearly as much by the age of 35 as Linux has, but neither was I nurtured by such a vast community
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Shared by voicesofopensource September 16, 2026
Open Weights Are Good. Open Source Is Better.
Favorite By this point, you’ve seen the news about open-weight AI models and the debate over their security, efficiency, and impact on both local and national economies. Scores of businesses have come out in support of open-weights, highlighting how they increase access to advanced AI and maintain competition in the
Read More Shared by voicesofopensource September 16, 2026
Announcing instance preference lists for Amazon SageMaker AI training jobs
Favorite Getting access to the right GPUs when you need them is one of the biggest challenges in training or customizing AI models at scale. During peak demand periods, your preferred GPU may not be immediately available – and when your job is tied to one specific GPU configuration, the
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Build an AI-powered product tagging system with Amazon SageMaker serverless model customization
Favorite Retail catalogs rarely arrive as clean, structured attributes. Product names, descriptions, and category paths come from many sources and change continuously. Search, recommendations, and catalog navigation depend on consistent tags, but manually applying those tags across thousands of stock keeping units (SKUs) is slow and difficult to keep consistent.
Read More Shared by AWS Machine Learning September 16, 2026
Optimizing cost and latency with Amazon Bedrock prompt caching
Favorite Prompt caching in Amazon Bedrock can reduce your input token costs by up to 90 percent when you repeatedly send the same context to foundation models, based on Amazon Bedrock prompt caching pricing. Without caching, a 10,000-token contract sent alongside 50 user questions means 500,000 input tokens billed at
Read More Shared by AWS Machine Learning September 16, 2026