Artificial vs Natural Intelligence
Over this 7-part series, we’ve explored how natural systems — ants, bees, birds, and brains — solve problems through emergence, not instruction.
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Agentic Swarms - Lessons from Nature for Enterprise AI
A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud.
08-Jun-2026
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Series sampler
History of A-E
adaptive-emergent now has a more focussed direction. Part one of this series looked at the history from 2015 to 2021; Part two explained why adappt.
View seriesAgentic Swarms - Lessons from Nature for Enterprise AI
A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud.
08-Jun-2026
Read moreA milestone - demos!
We are happy to announce that the Gallery part of our website is now available for viewing! You can see six different algorithms at work.
24-May-2026
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Agentic Swarms - Lessons from Nature for Enterprise AI
A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud.
08-Jun-2026
Read more‘They surprise me every time’ - bees can use tools to solve problems, study finds
Bumblebees can use tools to solve a problem, according to experiments that demonstrate their remarkably advanced cognitive abilities.
07-Jun-2026
Read moreSwarm Intelligence Market Forecast Signals Growing Commercial Interest
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.
07-Jun-2026
Read moreSQUID-COMM proposes colossal-squid-inspired distributed communications framework
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.
06-Jun-2026
Read moreFire-ant collective ripples linked to neighbour alignment dynamics
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.
31-May-2026
Read moreLantern Pharma unveils ZetaSwarm multi-agentic co-scientist platform
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.
31-May-2026
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It looks like a sea urchin, but this strange 20-legged machine is rewriting what robots can do
Duke University researchers have demonstrated Argus, a 20-legged robot whose sea-urchin-like body gives it near-uniform motion and perception in every direction.
29-May-2026
Read moreBiobased magnetic sensors printed from iron and cellulose rival some commercial devices
Researchers have developed printed magnetic sensors made from naturally sourced and lower-toxicity materials including iron, iron oxide, cellulose, and starch.
29-May-2026
Read moreAI listens to insect body signals to guide cyborg cockroaches
Researchers at the University of Osaka and collaborators have developed a cyborg insect system that reads heartbeat activity, neural signal features, and body movement from cockroaches.
29-May-2026
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