AI News, 10 November 2026

Tuesday 10 November

Supermetrics Launches Campaign Manager, Bringing AI-Powered Insights and Campaign Execution Together

AI-generated summary Supermetrics announced the launch of Campaign Manager to unite cross-platform performance marketing data with artificial intelligence chats for optimization actions. Supermetrics CEO Anssi Rusi says the new solution is built for marketing teams wanting to act on recommendations within their existing conversations while staying in control.

Also covered by PPC Land

Agent Substrate: Advancing Kubernetes for Agents at Scale

AI-generated summary NVIDIA says open source Agent Substrate pairs with NVIDIA Dynamo and KAI Scheduler in the NVIDIA DSX AI factory platform to coordinate agent execution, inference, and shared cluster resources. NVIDIA says Agent Substrate is an open-source, security-hardened, zero-trust runtime for sandboxed agents, engineered to safely run millions of agents and tools with 10x higher density than standard containers.

Also covered by computerweekly.com

Gemini Robotics 2.5: Accelerating Physical Intelligence

AI-generated summary Google DeepMind reports that Gemini 4 Argon robotics research capabilities acted as a simulation engine to accelerate the development of Gemini Robotics 2.5. Google DeepMind says Argon generates simulated practice runs from camera scenes and builds digital twins to help robots generalize to new objects.

Also covered by @GoogleDeepMind Ars Technica The Decoder
+4 moreInteresting Engineering Tech Times SiliconANGLE mlllm.io

Hybrid system could make cooling AI data centers cheaper and more efficient

AI-generated summary Researchers at the University of Waterloo are developing a hybrid cooling system that could make artificial intelligence data center cooling cheaper and more efficient. The system combines general immersion cooling using deionized water with targeted spot cooling using drops of costly coolant to handle sudden temperature spikes.

Closing The AI Control Gap Requires A New Operating Model For Governance

AI-generated summary As enterprises move toward autonomous AI agents, organizations are discovering a growing governance gap between agent capabilities and current operating models. A May 2026 Gartner, Inc. report predicted that forty percent of enterprises will demote or decommission autonomous AI agents due to governance gaps identified after production incidents occur.