Artificial Intelligence - Technology and Science Trends

Microsoft Open-Sources TauGrid: A Kubernetes-Native Stack for GPU AI Workloads Platform teams running AI on Kubernetes rarely run one thing. They run a queueing system, a distributed runtime, GPU node health checks, dashboards, and a layer of submission scripts holding all of it together. The Azure Kubernetes Service engineering team …

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Anthropic Launches Claude Code Projects in Beta: Parallel Cloud Sessions That Keep Running After You… Anthropic redesigned Projects in Claude Code. The old project was a folder: some files plus one chat. The new one is a single ongoing conversation where Claude acts as coordinator. You describe work, and Claude decides what becomes a thread. …

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Making global data easier to explore Google and the UN system have launched the UN System Data Commons, a new open platform making global statistics accessible and easy to search.

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OpenAI Releases a Model Misalignment Disclosure Framework With 3 Review Tracks and 6 Incident Reports… OpenAI has released a new framework for tracking, investigating, and disclosing misalignment in its own models. The OpenAI team announced it on X alongside 6 detailed incident reports. The framework sets criteria and deadlines for public disclosure. It applies even …

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Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query… Search and recommendation systems increasingly need to return a set of results, not one best match. A query like ‘camping gear’ should return a tent, a sleeping bag, a stove, and a headlamp. It should not return 10 near-identical tents.
Google …

cs.AI updates on arXiv.org

SAGE: Governed Artifact Generation from Enterprise Guidelines arXiv:2609.17775v1 Announce Type: new
Abstract: Enterprise guideline documents mix narrative text, complex tables, and embedded images, and converting them into structured work artifacts still takes two to three days of manual effort each. Current language and vision-language models extract from …

cs.AI updates on arXiv.org

Do Frontier Models Seek Safety Evidence Before Acting? arXiv:2609.17865v1 Announce Type: new
Abstract: Frontier models are often evaluated on how they respond to safety information once it is already in context. We study an earlier decision point: whether models choose to acquire safety-relevant evidence before acting. We introduce …

cs.AI updates on arXiv.org

FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment arXiv:2609.17786v1 Announce Type: new
Abstract: Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost. These decisions become more difficult when compression methods are composed or the user’s requirements change. In this paper, we propose …

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Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (DiTs). It targets 2 problems at once: value quantization error and a slow softmax stage.
Why Attention is the Video Bottleneck
Video DiTs flatten a clip into …

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Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run… Computational papers ship code that readers must clone, install, configure and debug. That cost keeps useful methods locked inside PDFs. A Stanford team led by Jiacheng Miao and James Zou proposes a fix. Paper2Agent was published in Nature on 16 …

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Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without… Knowledgator Engineering has released GLiFormer, a schema-conditioned encoder framework for information extraction. One model handles named-entity recognition (NER), text classification, relation extraction, nested JSON structuring, and text embeddings. You pass labels and extraction schemas at inference time. Two checkpoints are …

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Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solution… Prior Labs has released TabPFN-3.5, the newest version of its tabular foundation model. It predicts on a table in a forward pass, with no per-dataset training or tuning. Prior Labs reports first place across 7 tabular benchmarks. A separate demonstration …

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Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression. Causilo comes with a scikit-learn interface, Apache-2.0 code and pretrained weights on Hugging Face. On TabArena, it has the highest Elo among single models for both …

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Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend In this tutorial, we work through the cuDNN Frontend‘s graph API from below the framework: we describe a computation as a graph of operations, let cuDNN pick an engine to run it, and then take control of that choice ourselves. …

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Building AI to accelerate science and improve lives

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Building AI to accelerate science and improve lives The true measure of AI is who it helps. Here’s how it’s impacting lives today. We’re focused on key areas where advanced technology can help make extraordinary progress …

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AI for Societal Impact Explore this collection to see how experts and local leaders are using AI breakthroughs to ensure everyone can share the opportunity of AI.

New insights from Google’s AI & Economy ATLAS

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New insights from Google’s AI & Economy ATLAS We’ve translated ATLAS’s millions of global data points into an interactive, open-access experience.

Watch astronaut Christina Koch and Google’s James Manyika discuss space, technology, and discovery.

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Watch astronaut Christina Koch and Google’s James Manyika discuss space, technology, and discovery. Christina Koch sits down with James Manyika, Google’s Senior Vice President of Research, Labs, Technology & Society.

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DevFest is back DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era.