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Google Cloud announces the release of Gemma 4, its most capable open model family built from Gemini 3 research under Apache 2.0 license.
This post introduces Google Cloud database labs that demonstrate how to prepare and use data layers for production-ready AI applications.
This post explains how Addepar, a financial technology platform managing nearly $9 trillion in assets, built a scalable AI agent system called Addison using Databricks on AWS.
This article covers key insights from Shoptalk 2026, where 10,000+ retail leaders discussed how AI agents are actively reshaping commerce today.
This guide explains how to use ADK's SkillToolset to build agents that load domain expertise on demand via progressive disclosure.
This post explores how Google Cloud's Spanner database is designed to power agentic AI workflows through its multi-model architecture.
This article introduces Meta's Adaptive Ranking Model for serving LLM-scale ad recommendations at sub-second latency.
This post describes how a GitHub Copilot Applied Science researcher built eval-agents, a tool to automate analysis of coding agent trajectories across benchmark runs.
This article explores how Google and Equinix are leveraging AI tools to transform sustainability reporting from manual, fragmented processes into efficient, real-time strategic systems.
This article describes Part 2 of building Dev Signal, a multi-agent system on Google Cloud that transforms community signals into technical content using ADK, MCP, and Vertex AI.
Google announces the 1.0 release of the Agent Development Kit (ADK) for Go, bringing production-ready features for building AI agent systems.
Meta releases BOxCrete, a Bayesian Optimization AI model for designing sustainable and domestically-produced concrete mixes in the U.S.
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