Algorithms on Display
(See the original demos announcement at the link). We have added more algorithms to the website to try out and tweak.
View seriesFeatured
More demos from the human realm
(See the original demos announcement at the link).
28-Jun-2026
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Series sampler
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.
View seriesHistory 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
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Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus)
Researchers analysing 1,245 natural vocal interactions found that wild common marmosets use flexible turn-taking, matched call-response sequences, brief pauses, and very little overlap across both within-group and intergroup exchanges.
12-Jul-2026
Read moreFirst global map shows where underground fungal networks thrive and fail
Researchers combined more than 16,000 soil samples with predictive models to map the global density of arbuscular mycorrhizal fungal networks.
11-Jul-2026
Read moreAncient feeding circuits help ants switch between caregiving and foraging
Long before the dawn of modern parenting, animals laid eggs and moved on, leaving their progeny to fend for themselves. Now, a study published in Nature uncovers one of the elegant ways that evolution transformed neglect into nurture.
11-Jul-2026
Read morePentest Swarm AI — Stigmergic Blackboard Architecture for Autonomous Penetration Testing
Pentest Swarm AI uses a shared blackboard, pheromone-weighted findings, and decentralized agent triggers to let attack paths emerge instead of following a fixed pipeline.
28-Jun-2026
Read moreSchmidt Sciences and partners fund safety research for multi-agent worlds
This funding call frames AI safety as a population-level problem involving collusion, cascading failures, emergent communication, and collective capabilities.
26-Jun-2026
Read morePalladyne AI wins U.S. Army contracts for operational SwarmOS validation
Palladyne AI says its SwarmOS software will be tested with U.S. Army warfighters to coordinate heterogeneous unmanned systems without relying on centralized infrastructure.
25-Jun-2026
Read moreINT21 launches self-improving agent swarms for GPU infrastructure
INT21’s PTX Kernel Factory uses specialized agent swarms to generate, test, benchmark, and improve low-level GPU kernels across generations.
25-Jun-2026
Read moreGoogle DeepMind publishes a control roadmap for increasingly autonomous AI agents
Google DeepMind’s roadmap treats future AI agents as operational actors that may need containment, monitoring, and layered controls, borrowing ideas from cybersecurity and safety engineering.
23-Jun-2026
Read moreDARPA Launches DICE Program for Decentralized AI Through Controlled Emergence
DARPA’s new DICE (Decentralized Artificial Intelligence through Controlled Emergence) program may be one of the strongest real-world signals yet that biological coordination principles are moving into operational AI architectures. The program seeks methods that allow large populations of heterogeneous AI agents to coordinate through local interactions while remaining controllable, resilient, and adaptive.
17-Jun-2026
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