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A June workshop dedicated specifically to distributed collective intelligence, including bio-inspired approaches, decentralized trust systems, artificial life concepts, and collective behavior in smart systems.

A notable June event from the Santa Fe Institute, co-sponsored by OpenAI and Google DeepMind, focused on intelligence across multiple organisational and social scales rather than intelligence as an individual phenomenon.

The paper proposes an “Internet of Agentic AI” in which autonomous agents discover each other, negotiate responsibilities, exchange context, coordinate workflows, and operate across organizational boundaries.

A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud. https://www.tredence.com/blog/agentic-swarms-lessons-from-nature-for-machine-intelligence

Bumblebees can use tools to solve a problem, according to experiments that demonstrate their remarkably advanced cognitive abilities. https://www.theguardian.com/environment/2026/jun/04/bees-use-tools-to-solve-problems-study-finds

A recent market analysis projects rapid growth in swarm-intelligence technologies over the coming decade, driven by decentralized coordination requirements across IoT, autonomous systems, and distributed decision-making applications.

SQUID-COMM introduces a communications architecture inspired by signalling, coordination, and self-organization mechanisms observed in colossal squid. The framework includes adaptive signalling, decentralized routing, synchronization, and congestion-management concepts.

Researchers studying fire-ant collectives found evidence that large-scale ripples and movement waves emerge from simple local alignment between neighbouring ants. No central coordination is required for the collective patterns to appear.

Lantern Pharma announced ZetaSwarm, a commercially available multi-agent scientific reasoning platform designed to run many specialised AI agents in parallel. The system is intended to support drug discovery and biomedical research workflows.

The knapsack problem is the classic optimisation problem: You have a backpack that can carry only a certain weight. You have a set of items, each with a weight and a value.