https://aiunderstanding.org/news/air-exits-stealth-with-a-platform-to-vet-ai-agent-add-ons-and-actionshttps://aiunderstanding.org/api/news/image/air-exits-stealth-with-a-platform-to-vet-ai-agent-add-ons-and-actions?v=1788377918817AIR exits stealth with a platform to vet AI-agent add-ons and actionsAIR says it has emerged from stealth with a security platform designed to inspect the skills, plugins, MCPs and other add-ons that AI agents use, then monitor agent activity at runtime.https://aiunderstanding.org/api/news/video/air-exits-stealth-with-a-platform-to-vet-ai-agent-add-ons-and-actions2026-09-02T02:30:50.143Zyes https://aiunderstanding.org/news/google-research-releases-deep-learning-system-for-global-methane-plume-mappinghttps://aiunderstanding.org/api/news/image/google-research-releases-deep-learning-system-for-global-methane-plume-mapping?v=1788381398897Google Research releases deep-learning system for global methane plume mappingGoogle Research says MAPL-EMIT uses a vision transformer trained on 3.6 million simulated plumes to detect, measure and locate methane emissions in satellite data.https://aiunderstanding.org/api/news/video/google-research-releases-deep-learning-system-for-global-methane-plume-mapping2026-09-02T02:08:25.226Zyes https://aiunderstanding.org/news/github-expands-copilot-s-agent-workflows-and-review-tools-in-vs-codehttps://aiunderstanding.org/api/news/image/github-expands-copilot-s-agent-workflows-and-review-tools-in-vs-code?v=1788242995209GitHub expands Copilot’s agent workflows and review tools in VS CodeGitHub’s August VS Code releases add session management, cross-application agent continuity, conversation search, browser-based feedback on local HTML, and multilingual on-device dictation.https://aiunderstanding.org/api/news/video/github-expands-copilot-s-agent-workflows-and-review-tools-in-vs-code2026-09-01T02:13:08.963Zyes https://aiunderstanding.org/news/caterpillar-plans-100-million-ai-training-push-as-it-expands-automation-beyond-minhttps://aiunderstanding.org/api/news/image/caterpillar-plans-100-million-ai-training-push-as-it-expands-automation-beyond-min?v=1788147870914Caterpillar applies mining-automation lessons to broader AI deploymentTechCrunch reports that Caterpillar is extending its mining-automation experience to construction, manufacturing and enterprise AI while planning to spend $100 million training employees in AI, autonomy and robotics over five years.https://aiunderstanding.org/api/news/video/caterpillar-plans-100-million-ai-training-push-as-it-expands-automation-beyond-min2026-08-31T03:15:52.601Zyes https://aiunderstanding.org/news/meta-says-closed-loop-cooling-and-reinforcement-learning-can-reduce-ai-data-centerhttps://aiunderstanding.org/api/news/image/meta-says-closed-loop-cooling-and-reinforcement-learning-can-reduce-ai-data-center?v=1788111330896Meta says closed-loop cooling and reinforcement learning can reduce AI data-center resource useMeta describes sealed liquid-cooling systems for dense AI servers and reports a pilot in which reinforcement learning reduced air-cooling fan energy by 20% and water use by 4%.https://aiunderstanding.org/api/news/video/meta-says-closed-loop-cooling-and-reinforcement-learning-can-reduce-ai-data-center2026-08-28T00:13:43.950Zyes https://aiunderstanding.org/news/anthropic-previews-a-standard-for-ai-agents-to-control-laboratory-equipmenthttps://aiunderstanding.org/api/news/image/anthropic-previews-a-standard-for-ai-agents-to-control-laboratory-equipment?v=1788095387787Anthropic opens research preview of Model Hardware Standard for AI-controlled lab equipmentAnthropic is previewing a model-agnostic standard that lets AI agents coordinate programmable laboratory and manufacturing devices through a shared interface. Early partner demonstrations included automated protein assays, qPCR monitoring, instrument handoffs and dose-response experiments, but the system remains a…https://aiunderstanding.org/api/news/video/anthropic-previews-a-standard-for-ai-agents-to-control-laboratory-equipment2026-08-28T00:09:31.936Zyes https://aiunderstanding.org/news/goodfire-presents-silico-an-agent-for-interpreting-and-debugging-ai-modelshttps://aiunderstanding.org/api/news/image/goodfire-presents-silico-an-agent-for-interpreting-and-debugging-ai-models?v=1787944077237Goodfire presents Silico, an agent for interpreting and debugging AI modelsGoodfire’s new Silico platform is designed to inspect hidden model representations, diagnose behavior and guide targeted interventions across life-sciences, robotics, vision and language models.https://aiunderstanding.org/api/news/video/goodfire-presents-silico-an-agent-for-interpreting-and-debugging-ai-models2026-08-26T12:01:51.315Zyes https://aiunderstanding.org/news/hugging-face-introduces-gradio-tool-for-building-deployable-ai-workflowshttps://aiunderstanding.org/api/news/image/hugging-face-introduces-gradio-tool-for-building-deployable-ai-workflows?v=1787627848238Hugging Face introduces Gradio tool for building deployable AI workflowsHugging Face says its new gr.Workflow feature lets developers connect typed Python functions, models, Gradio Spaces and datasets into visual pipelines that can also be exposed as REST APIs and deployed to Spaces.https://aiunderstanding.org/api/news/video/hugging-face-introduces-gradio-tool-for-building-deployable-ai-workflows2026-08-25T03:16:31.227Zyes https://aiunderstanding.org/news/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadatahttps://aiunderstanding.org/api/news/image/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadata?v=1787595112231AWS describes an AI workflow for correcting and harmonizing biomedical metadataAWS has published a deployable workflow that uses language models, embeddings and rule-based validation to identify inconsistent biomedical metadata and recommend corrections, with either human approval or agent-driven automation.https://aiunderstanding.org/api/news/video/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadata2026-08-24T16:56:32.834Zyes