
Scientists Built A Computer Out Of Shiitake Mushrooms — and It Works

The Mushroom Computer Revolution: How Shiitake Fungi Are Powering the Future of Tech
It may sound like something pulled straight from the pages of a futuristic sci-fi novel, yet scientists have successfully engineered a working computer built from shiitake mushrooms. This extraordinary breakthrough has the potential to transform not only the technology sector but also how society views sustainability, artificial intelligence, and the very definition of a “machine.” The idea that a living organism—simple and organic—could serve as the foundation for computation challenges long-held assumptions about modern electronics.
Recent research from the University of the West of England demonstrates that mushrooms are far more than culinary ingredients. Their intricate mycelial networks, composed of millions of tiny filament-like structures, have shown strong potential for conducting electricity and processing information in ways that resemble biological neural systems. This suggests that one day, our devices may be built from fungal tissues instead of plastic, silicon, and heavy metals (source: Nature Reviews Materials).
Scientists have long hypothesized that certain living organisms could transmit electrical impulses or store information. Today, those theories have moved from speculation to reality. This innovation not only pushes the boundaries of unconventional computing but also supports the global push toward eco-friendly, biodegradable technologies.
In the following sections, we will explore how a “mushroom computer” was created, the science supporting its operation, and its potential to reshape the future of AI and sustainable electronics.
The Birth of Mushroom Computing
The foundation of this revolutionary concept lies within mycelium, the subterranean network that allows fungi to communicate and distribute nutrients. These dense webs behave like natural information highways, leading researchers to consider mycelium as a possible organic alternative to silicon-based circuitry.
Academic teams experimented specifically with shiitake mushroom mycelium due to its robustness, rapid growth cycle, and unusually high electrical conductivity (source: Scientific American). Under carefully controlled laboratory conditions, scientists cultivated mats of mycelium thick enough to serve as a computing substrate. Over time, the fungal fibers intertwined into natural conductive pathways.
Electrodes were then applied to the fungal tissue to send and measure electrical signals. The mycelium responded by adjusting its structure—strengthening some pathways while diminishing others. This dynamic change resembled the way neurons strengthen synaptic connections when repeatedly stimulated. In essence, the mushroom computer demonstrated a primitive ability to “learn.”
This biological adaptability offers a paradigm shift. Instead of rigid circuits, we now have a living, flexible network capable of reorganizing itself to handle information more efficiently.
How the Process Works

Understanding this novel computer requires a look into its experimental preparation. The first step involves cultivating shiitake mycelium under consistent light, humidity, and nutritional conditions. As the mycelial mass grows denser, it forms a thick, interconnected mat suitable for digital interaction.
Researchers then place this mycelium onto a substrate fitted with electrodes. These electrodes act as input and output nodes, sending tiny electrical impulses across the fungal tissue. As the signals move through the network, the mycelium alters its internal structure to optimize conductivity.
According to the research team (source: PLOS One, LaRocco et al., 2025), variations in the fungal tissue’s resistance can encode binary data. When pulses pass through, the mycelium changes its resistance temporarily—or permanently—enabling both short-term and long-term memory storage.
Importantly, mycelium networks exhibit self-repair. If part of the fungal circuit is damaged, the mycelium regrows and reconnects itself—something entirely impossible for silicon-based components.
The Science Behind the Magic
While the notion of a fungus performing computation may seem strange, the science behind it is grounded in well-established electrical principles. Mycelium conducts small electrical currents via ions moving through fluid-filled channels within the network. This ion-based conduction creates measurable voltage differences, effectively forming natural circuits (source: Wired Magazine).
This system is a form of neuromorphic computing, where information is processed through distributed networks rather than centralized chips. Much like the human brain, the fungal system relies on parallel processing, adaptability, and interconnected pathways.
In addition to computation, mycelium demonstrates extraordinary sensory capabilities. The fungal network reacts to changes in temperature, moisture, chemicals, and even mechanical pressure. According to researchers cited by Earth’s Attractions, these sensitivities could enable living sensors capable of real-time environmental monitoring—far more adaptable than traditional electronic sensors.
From Mushrooms to Artificial Intelligence
One of the most promising applications of mushroom-based computing lies in artificial intelligence. Mycelium networks naturally reorganize, learn from repeated stimuli, and adapt their connections—making them biologically analogous to the artificial neural networks used in AI.
Early studies show fungal networks solving basic pattern recognition tasks, navigating mazes, and performing simple logic operations. These findings suggest the potential for biohybrid AI systems that merge the resilience of biological tissue with the precision of digital components (source: IEEE Spectrum).
In the future, such systems could lead to:
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Self-repairing AI devices
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Eco-friendly robots grown from organic materials
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Machines capable of evolving new processing pathways over time
This merging of biology and computation could redefine what “intelligence” means in both the technological and biological sense.
Challenges and Future Prospects
Despite its remarkable potential, mushroom computing faces several practical limitations:
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Slow processing speeds due to biological constraints
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Environmental sensitivity, requiring stable conditions
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Difficulty in scaling networks to the size of modern computers
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Inconsistent signal stability across changing mycelium structures
Researchers are actively exploring how to stabilize and scale these systems, though mass production remains a long-term goal. Still, the ecological benefits—zero toxic waste, full biodegradability, and minimal energy consumption—make fungal computing an attractive alternative to conventional electronic waste (source: Environmental Science & Technology).
Future advancements may involve hybrid frameworks where mycelium handles adaptive data processing, while traditional chips manage interfaces or high-speed operations. Such blended systems could offer the best of both worlds.
A Reflection on Living Technology
The development of a functional mushroom computer represents more than a scientific milestone—it reflects a profound shift in how humanity approaches innovation. By looking to nature for inspiration, scientists are uncovering technologies that complement the planet's ecological systems instead of depleting them.
In a world dominated by synthetic materials and high-energy electronics, this bio-based technology demonstrates that intelligence already exists within living systems—we are simply learning how to tap into it. Fungi have been perfecting their networks for millions of years, far longer than humans have been developing circuits.
If mushroom computing continues to evolve, it could reshape not just our technology but our understanding of life, cognition, and connectivity. The boundary between machine and organism grows thinner each day.
One thing is clear: the humble shiitake mushroom may play a surprisingly large role in the computing landscape of the future—and that future may be far more organic than anyone ever imagined.
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