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This post explores building distributed AI agents using the orchestrator pattern with Google's Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol.
This post introduces Dev Signal, a multi-agent system built with Google ADK that uses MCP servers to discover Reddit questions, research answers via Google Cloud docs, and generate technical blog posts with custom visuals.
Stripe and Tempo introduce the Machine Payments Protocol (MPP), an open standard enabling AI agents to transact autonomously on the internet.
This article guides developers through key AI agent protocols (MCP, A2A, UCP, AP2) by building a practical restaurant supply chain agent using Google's Agent Development Kit (ADK).
Databricks launches Qwen3-Embedding-0.6B, a state-of-the-art multilingual embedding model for building retrieval-powered AI agents on enterprise data.
Meta's Ranking Engineer Agent (REA) is an autonomous AI agent that manages the end-to-end ML lifecycle for ads ranking models with minimal human intervention.
Dropbox engineering shares how they used DSPy to optimize their LLM-based relevance judge for Dash, achieving significant cost and quality improvements.
This post examines how the open source AI ecosystem on Hugging Face evolved across competition, geography, and emerging communities through Spring 2026.
Google DeepMind introduces a cognitive taxonomy framework for measuring progress toward AGI, accompanied by a Kaggle hackathon with a $200,000 prize pool.
GPT-5.4 Mini and GPT-5.4 Nano from OpenAI are now available on Vercel AI Gateway, designed for sub-agent workflows and agentic tasks.
H Company releases Holotron-12B, a multimodal computer-use agent model post-trained from NVIDIA's Nemotron-Nano-2 VL, optimized for high-throughput production inference.
This article explains the conceptual differences between artificial intelligence and machine learning, and outlines how each technology applies in the real world.
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