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This paper introduces CRAWO, a framework for adaptive workload orchestration of AI pipelines across heterogeneous edge infrastructures. It uses a control-loop model and Kubernetes-based implementation to improve workload distribution and reduce reliance on centralized cloud processing, demonstrated in a vehicle surveillance scenario.
This article explains why and how fenic extended Polars with Rust expression plugins to perform text operations (chunking, prompt templating, fuzzy matching, etc.) natively in the engine, avoiding performance and composition issues of Python UDFs.
Google announces the use of ADK and Agent-to-Agent (A2A) protocol for building cross-language multi-agent AI pipelines, with an open-source Contract Compliance multi-agent engine available on GitHub.
The article discusses using Gemini Omni's edit mode as a deterministic transformation step in agent video pipelines, enabling reproducible state changes without full video regeneration, improving cost and speed.
Google releases Gemini 3.1 Flash-Lite, a lightweight version of the Gemini model designed for high-volume AI pipelines.