Picture a computer growing on your kitchen counter and not sitting there charging. Not resting between tasks and actually growing, like basil or tomatoes, from nothing more than dirt, moisture, and time.

Sound absurd? A team at Ohio State University just made it happen.

Researchers led by psychiatrist John LaRocco have built working computer memory from shiitake mushrooms. We’re not talking about mushroom-shaped cases or fungus-inspired designs. We’re talking about actual fungal tissue processing electrical signals, storing information, and behaving like the silicon chips inside your laptop.

And here’s what makes it wild. Performance tests show these mushroom memristors switching electrical states nearly 6,000 times per second with 90 percent accuracy. That’s only twice as slow as the cheapest commercial chips on the market today.

Your next computer might literally grow in a compost heap.

Growing Circuits Instead of Mining Silicon

Memristors are circuit elements that remember their past electrical states. You can think of them as tiny electronic brain cells. When voltage flows through them, they change their resistance and hold onto that change like a memory. Link enough memristors together, and you can build systems that learn, adapt, and process information the way neurons do.

Usually, memristors come from semiconductor foundries. Engineers craft them from titanium dioxide or metal oxides in facilities that cost billions to build and operate. Production requires rare-earth minerals, generates toxic waste, and devours electricity.

LaRocco’s team skipped all that. They grew their memristors in petri dishes filled with farro seed, wheat germ, and hay. Room temperature. Natural light. No mining required.

After the mycelium covered each dish, researchers dried the samples in direct sunlight for about a week. Once dehydrated, the fungal mats became rigid disks that could handle electrical current. A quick misting with water restored conductivity without compromising structural integrity.

Then came the real test. Researchers wired the dried mycelium to circuits and flooded them with electrical signals at different voltages and frequencies. “We would connect electrical wires and probes at different points on the mushrooms because distinct parts of it have different electrical properties,” LaRocco explained. “Depending on the voltage and connectivity, we were seeing different performances.”

What they discovered was remarkable. At low frequencies with one-volt signals, the mushroom memristors achieved 95 percent accuracy. At higher frequencies, accuracy dropped to 90 percent, but the system still worked. When higher voltages degraded performance, adding more mushrooms to the circuit compensated for the loss.

Nature had just beaten a semiconductor fab, using materials you could find at a grocery store.

Why Current Computing Eats Resources and Creates Waste

AI data centers now account for a significant chunk of global electricity demand growth. Every query you feed to ChatGPT, every image generated by Midjourney, every recommendation algorithm sorting your social media feed runs on massive server farms burning through power around the clock.

Semiconductors themselves carry heavy environmental costs before they ever process a single bit of data. Production requires rare-earth elements mined in conditions that often damage ecosystems and exploit workers. Geopolitical tensions over access to these materials have intensified as nations compete for technological dominance.

Then there’s the waste. Electronic trash piles up faster than we can recycle it. Discarded chips contain heavy metals and toxic compounds that leach into soil and groundwater. Most consumer electronics end up in landfills or are shipped to developing countries, where informal recycling operations expose people to hazardous materials.

Manufacturing facilities compound the problem. Chip fabrication demands ultra-pure materials, controlled environments, and energy-intensive processes. A single fab can cost upward of $20 billion to build. Operating one requires constant electricity, specialized chemicals, and massive amounts of water for cooling and cleaning.

All of which makes the mushroom approach look pretty good by comparison.

Mushrooms Already Think Like Computers

Fungi have been processing information for millions of years. Mycelial networks stretch underground through forests, connecting trees and plants in what ecologists call the “wood wide web.” These networks transmit chemical and electrical signals between organisms, share nutrients, and respond to environmental changes.

Scientists have documented electrical impulses traveling through mycelium that resemble neural firing patterns. Some researchers claim fungi have a primitive form of language based on repeated signal sequences. While that remains controversial, nobody disputes that mycelium can sense, respond, and adapt to its surroundings.

Structurally, mycelial networks and neural networks look strikingly similar. Both consist of interconnected nodes that pass information through junction points. Both can reroute signals around damaged areas. Both show plasticity, changing their connections based on experience.

LaRocco’s team chose shiitake mushrooms for several practical reasons. As one of the most cultivated species globally, shiitakes offer an abundant, low-cost supply. Their porous structure enhances electrochemical performance. And unlike many organisms, shiitakes show remarkable radiation resistance thanks to a compound called lentinan, which helps them endure oxidative stress.

That radiation resistance matters more than you might think. Cosmic rays and ambient radiation wreak havoc on conventional electronics in space. Fungal circuits that shrug off radiation could power satellites, rovers, and deep-space probes without the heavy shielding current systems require.

From Petri Dish to Processing Unit

Growing a computer starts with patience. Researchers prepared nine samples in standard petri dishes, maintaining temperatures between 20 and 22 degrees Celsius with 70 percent humidity. Mixed light exposure mimicked natural conditions. Over several weeks, white mycelial threads spread through the substrate, forming dense, interconnected mats.

Once mycelium covered each dish completely, the drying phase began. Samples sat in well-ventilated areas under direct sunlight at room temperature for approximately seven days. Researchers rotated them periodically to prevent uneven hardening. Dehydration transformed the soft fungal network into a rigid structure while preserving its electrical properties.

Before testing, samples received a light misting of deionized water. Rehydration restored conductivity without introducing enough moisture to compromise mechanical integrity. Then came the wiring.

Researchers connected copper probes to different points on each fungal disk and hooked them up to an Arduino microcontroller. A voltage divider circuit allowed them to test multiple memristors simultaneously. Oscilloscopes measured current flow and resistance changes as researchers applied various signals.

Square waves came first, testing sharp threshold-based switching. Sinusoidal waves followed, revealing more subtle behaviors. Researchers swept through frequencies from 200 hertz down to 10 hertz, monitoring how the fungal tissue responded.

At 25 hertz, something clicked. Current-voltage plots showed the characteristic pinched hysteresis loop that defines memristor behavior. Dropping the frequency to 10 hertz and increasing the voltage to five volts produced nearly ideal results. Mushrooms were storing and processing information just like silicon chips.

Performance Numbers That Challenge Expectations

Peak performance hit 5,850 signals per second. At that speed, each switch took roughly 170 microseconds. Commercial memristors start at about double that rate, so fungal versions lag behind current technology. But remember, commercial chips come from billion-dollar facilities after decades of refinement. Mushroom memristors come from petri dishes after a few weeks of growth.

Accuracy measurements revealed even more promise. At optimal settings (10 hertz, one volt), fungal memristors achieved 95 percent accuracy. Across all test conditions, average accuracy held steady at 90 percent. Conventional first-generation technologies rarely perform that well out of the gate.

Higher voltages presented challenges. As electrical pressure increased, performance dropped. But researchers found a workaround. Adding more mushrooms in parallel improved circuit stability and compensated for individual limitations. Nature already uses massive parallelization to offset slow individual processing speeds. Brains contain billions of neurons firing relatively slowly compared to silicon transistors, yet they outperform computers at countless tasks.

Volatile memory tests confirmed the mushrooms could remember written states. Researchers programmed binary values into fungal circuits, read them back, and repeated the process across a range of frequencies. Success rates remained high, proving the concept works for actual data storage, not just laboratory curiosities.

Six Reasons Fungal Electronics Could Win

First, mushroom computers biodegrade. When you’re done with them, they decompose naturally. No toxic waste. No heavy metals leaching into groundwater. You could literally compost a fungal processor.

Second, no rare-earth minerals enter the supply chain. Cultivation requires organic materials available anywhere. Geopolitical conflicts over lithium, cobalt, and neodymium become irrelevant when your processor grows from grain and hay.

Third, power requirements drop. “Being able to develop microchips that mimic actual neural activity means you don’t need a lot of power for standby or when the machine isn’t being used,” LaRocco noted. “That’s something that can be a huge potential computational and economic advantage.” Standby power accounts for a surprising percentage of total energy consumption in modern electronics. Fungal systems that truly sleep like brains could slash that waste.

Fourth, radiation resistance makes them suitable for aerospace applications. Satellites fail when cosmic rays flip bits in memory chips. Spacecraft require heavy shielding to protect electronics. Shiitake memristors laugh off radiation that would fry conventional circuits.

Fifth, manufacturing scales easily. “Everything you’d need to start exploring fungi and computing could be as small as a compost heap and some homemade electronics, or as big as a culturing factory with pre-made templates,” LaRocco said. “All of them are viable with the resources we have in front of us now.” Anyone with basic biology knowledge and simple electronics gear could start experimenting.

Sixth, the cost plummets compared to semiconductor production. Petri dishes beat clean rooms. Organic substrate beats silicon wafers. Sunlight beats multimillion-dollar lithography machines.

Obstacles Between Lab Bench and Laptop

Let’s be honest. You’re not running video games on mushrooms anytime soon.

Current prototypes are bulky. Each fungal memristor measures centimeters across. Competitive computing requires components measured in nanometers. Shrinking fungal circuits down a million times will take years of engineering work.

Consistency poses another challenge. Each mushroom sample grows differently, even in identical conditions. Electrical properties vary between batches. Manufacturers need predictable, reproducible components. Wild variations won’t cut it for commercial products.

Speed remains an issue. While 5,850 hertz sounds impressive for mushrooms, modern processors operate in the gigahertz range. Fungal systems lag by factors of millions. Massive parallelization might compensate, but building networks of billions of fungal memristors presents its own problems.

Long-term preservation needs work. Researchers proved dehydration preserves functionality, but how long does it last? Months? Years? Decades? Storage stability matters for practical applications. Nobody wants a memory that expires.

And researchers have barely scratched the surface. Studies so far have run for less than two months. Long-term performance characteristics remain unknown. Will fungal memristors degrade over time? Can they withstand temperature swings, humidity changes, and physical stress?

Computing Could Grow Like Crops Within Decades

Despite current limitations, the path forward looks clear. Researchers propose using 3D-printed templates to control mushroom geometry during growth. Standardized shapes would improve consistency and enable mass production.

Electrical contacts could be integrated directly into cultivation structures, eliminating manual wiring. Imagine fungal circuits that grow already connected, ready to program immediately after harvest.

Preservation techniques will improve through experimentation. Combining freeze-drying, specialized coatings, and protective hydrogels might extend shelf life indefinitely while maintaining performance.

Parallelization solves the speed problem. Connect millions of fungal memristors in networks that process information simultaneously. Individual components might be slow, but collective performance could rival conventional systems.

Factory-scale production becomes feasible once cultivation methods mature. Large facilities could grow fungal processors by the ton, each batch identical to the last. Costs would drop below anything semiconductor fabs could match.

What Fungal Computing Teaches Us About Possibility

Mushroom computers force us to question assumptions about life, intelligence, and technology. If fungi can process information, store memories, and learn from experience, where do we draw the line between living tissue and electronic circuits?

Biological intelligence and artificial intelligence might not be separate categories after all. Perhaps they’re points on a spectrum, different expressions of the same basic principles. Information flows, patterns emerge, systems adapt. Whether the substrate is neurons, silicon, or mycelium, the underlying logic remains constant.

We’ve spent decades trying to make machines think like brains. Maybe we’ve been going about it backwards. Instead of building artificial versions of biological processes, we could harness biology directly. Let nature do what it already does well, then interface with it.

Consider what this means for our relationship with technology. Right now, electronics feel alien. Rigid metal boxes filled with incomprehensible components, manufactured in distant facilities, are destined for landfills when they break. Fungal computers could grow in your backyard. You could nurture them, watch them develop, and compost them when finished.

Technology stops being something extracted from the earth through violence and becomes something cultivated through care.

Earth’s forests already run on mycelial networks. Trees communicate through fungal connections, sharing resources and warnings about threats. We’ve built the internet to mimic what nature perfected millions of years ago. Now we’re discovering that nature’s version might work better for computing, too.

Maybe the future of technology looks less like science fiction and more like agriculture. Maybe instead of mining deeper and building bigger, we learn to grow what we need. Maybe progress means working with life instead of against it.

Mushroom computers won’t replace your smartphone tomorrow. But they point toward possibilities we’ve barely begun to explore. Living systems that compute. Processors that decompose. Electronics that heal themselves and adapt like organisms.

We’ve spent so long trying to transcend biology through technology. Fungal computing suggests synthesis instead of transcendence. Not leaving nature behind as we advance, but bringing it along, discovering that the tools we need have been growing beneath our feet all along.

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