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2026-09-09
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Exa MCP search metadata: Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond. # Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond - Google Developers Blog Published: 2026-09-09T15:05:12+00:00 Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond - Google Developers Blog # Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond SEPT. 9, 2026 Today, we're thrilled to announce the 1.0 general availability release of the Agent Development Kit (ADK) for Kotlin! Check out the GitHub repository to dive into the code and ... 来源:Exa MCP。Exa MCP public search metadata via the Agent Reach documented route; no cookies, login state, or full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据:The AI policy window is open. We need to act.。Loading… Share Preparing for recursive self-improvement Preparing for recursive self-improvement Working with Congress on mandatory national AI safety requirements Keeping up momentum in the states Calling for industry standards to monitor frontier AI Use the window Preparing for recursive self-improvement Working with Congress on mandatory national AI safety requirements Keeping up momentum in the states Calling for industry standards to monitor frontier AI Use the window We’ve reached a new chapter in AI capabilities, and that demands a new chapter for AI policy. No company, industry, or government can meet this challenge alone. We n... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据:How GPT-5.6 Sol helps run quantum computing experiments。Loading… Share Quantum computing is an emerging technology that uses the unique properties of quantum mechanics to process information. It could one day better simulate complex materials and molecules. Unlike conventional processors, quantum processors are built with quantum bits, or qubits. Preparing and running qubit experiments can take months and require hundreds to thousands of preliminary measurements—work that AI is poised to help with. Beatriz Yankelevich, a graduate student in MIT’s Engineering Quantum Systems Group (EQuS), used GPT‑5.6 Sol, harnessed to Codex, to explore whether AI could streamline her experimental ... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored.
打开公开来源RSS 公开元数据:IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license。:last-child]:mb-0"> High-performance zero-shot forecasting with commercial-friendly open licensing Time-series foundation models are changing the way forecasting systems are built. Instead of training and maintaining a separate model for every dataset, users can use a pretrained model and generate forecasts zero-shot. IBM has released Granite Time Series PatchTST-FM-r2, the latest model in the Granite TSFM family ( github, blog ). PatchTST-FM-r2, a new version of its predecessor PatchTST-FM-r1, combines an updated architecture, a larger pretraining corpus, probabilistic forecasting, support... 来源:RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
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