The next chapter in flood resilience: Open sourcing Google’s hydrology framework
Climate & Sustainability
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Trump plan to test AI models has a problem—US security teams were gutted by DOGE
On Tuesday, Donald Trump finally signed his executive order expanding the government’s efforts to conduct voluntary safety testing of frontier AI models. Now, critics are warning that the order may be short-sighted, offering only performative reassurances that the government is actively monitoring for AI risks, while changing very little about how and when models are deployed. Last month, Trump abruptly canceled a signing event, where he had hoped to launch an earlier version of the EO with CEOs […]
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Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart
Today, we’re announcing support for Fundamental’s NEXUS model on Amazon SageMaker AI. With this launch, you can deploy a foundation model (FM) purpose-built for tabular data prediction. This model helps your enterprise generate accurate, deterministic predictions from structured data in days instead of months. In this post, we show you how to get started with NEXUS on Amazon SageMaker JumpStart, walk through the deployment process, and demonstrate how to run predictions against your enterprise datasets. What is NEXUS? […]
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![Analysis of AlphaZero training data [D]](https://www.digitado.com.br/wp-content/uploads/2026/06/gjby4omfp35h1-jd4aJG-280x140.png "Analysis of AlphaZero training data [D]")
Analysis of AlphaZero training data [D]
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Reducing container cold start times using SOCI index on DLAMI and DLC
Deep Learning AMI and AWS Deep Learning Containers are now enabled with support for SOCI snapshotter and index. Seekable OCI (SOCI) is a technology that enables efficient container image management through selective file downloading. It uses a layer-based indexing system to map file locations within container images, allowing containers to start with only the necessary files loaded (lazy loading). This approach reduces network bandwidth usage and improves container startup times, making it particularly valuable for organizations managing large […]
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Ground truth is a process, not a dataset
Today, the key challenge in AI isn’t only how to build better models; it’s how to build evaluation systems that can keep up. Search-augmented AI systems can now produce deep research reports — long, polished syntheses of many sources that increasingly resemble expert analysis. But those reports are useful only if their claims are supported by the underlying literature. Most existing fact-checking tools work best when a claim can be matched to a short quote or a single […]
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Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI
AI agents can autonomously handle complex, multi-step tasks, but their effectiveness depends on calling the right tools to retrieve information or take action. When an agent picks the wrong tool, formats parameters incorrectly, or breaks a workflow chain, task completion times grow, error rates rise, support costs increase, and user experiences degrade. As more organizations move agentic applications from pilot to production, having agents that select the right tool for each request is essential for reliable automation. In […]
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A Different Approach to Deriving The Kalman Filter
Same results, different derivation Continue reading on Towards AI »
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A Different Approach to Deriving The Kalman Filter
Same results, different derivation Continue reading on Towards AI »
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How to Use GitHub Copilot Code Review in Pull Requests
GitHub offers several AI tools under the Copilot umbrella that cover your entire development workflow. Copilot can provide an AI-powered code review shortly after you open a pull request on GitHub. Rather than waiting for a teammate, you can add Copilot as a reviewer to receive context-aware feedback. With access to your entire codebase, it delivers actionable suggestions that you can apply in just a few clicks: Pull requests are the standard collaborative workflow provided by GitHub and […]
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