Blog
Articles exploring the intersection of biology and technology - from emergent collective behaviour to nature-inspired algorithms.
Agentic Workflows and Swarm Intelligence: When AI Needs a Colony
Agentic AI pipelines echo the logic of ant colonies - specialised agents that excel at narrow tasks but need orchestration to avoid going off the rails. The parallels run surprisingly deep.
Read article →The Mold That Mapped Tokyo: Physarum polycephalum and Biologically Inspired Network Design
How a single-celled slime mold, given a map of the Tokyo area, spontaneously grew a nutrient network matching the real rail system in efficiency, fault tolerance, and cost.
Read article →AlphaFold and AlphaEvolve: How AI Cracked Biology's Hardest Problem
How deep learning finally solved the fifty-year protein folding problem - and how an evolutionary coding agent is now discovering algorithms no human has written.
Read article →Neuromorphic Computing: Building Chips That Think in Spikes
How biological brains use discrete electrical pulses to compute with extraordinary efficiency - and why chips like Intel Loihi and IBM TrueNorth are replicating that architecture in silicon.
Read article →Resilience and Self-Healing: How Biology Inspires Fault-Tolerant Software
From immune-system-inspired intrusion detection to container orchestration modelled on apoptosis - how nature's resilience strategies are reshaping distributed systems.
Read article →Turing Patterns: How Mathematics Paints the Animal Kingdom
How Alan Turing's reaction-diffusion model explains the spots on a leopard, the stripes on a zebrafish, and the spacing of hair follicles - all from two simple chemicals.
Read article →Ant Colony Optimization: Nature's Routing Algorithm
How ants' pheromone-based foraging behaviour inspired a family of powerful optimisation algorithms for routing, scheduling, and combinatorial problems.
Read article →Conway's Game of Life: Complexity from Simplicity
Four simple rules, no central control, and infinite complexity - how John Conway's cellular automaton became a paradigm for emergence.
Read article →Genetic Algorithms: Evolution as Computation
How Darwinian selection, crossover, and mutation are harnessed as a general-purpose optimisation engine - evolving solutions without understanding the problem.
Read article →Hexagons Are Bestagons: Why Nature Loves Six Sides
From beehives and basalt columns to graphene and soap bubbles - why the hexagon is nature's most efficient shape for tiling a surface.
Read article →Neural Networks: From Biology to Silicon
Artificial neural networks are often called "brain-inspired", but how close is the resemblance really? Tracing the intellectual lineage from McCulloch-Pitts neurons to modern deep learning.
Read article →Swarm Intelligence: When Dumb Agents Create Smart Behaviour
How simple rules followed by individual agents produce the sophisticated collective behaviour we see in ant colonies, bird flocks, and fish schools.
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