A patent-protected memory and computing architecture: each part stores far more than a one or a zero, computes where the data lives, and is built on standard wafers.
27 STABLE STATES · MEASURED IN THE LABRecognizing a face, understanding a sentence, driving a car: your brain does it burning less than an old light bulb. An artificial-intelligence data center does similar tasks burning a million times more. The next decade of AI won't be decided by speed: it will be decided by energy and memory.
Inside any chip there are billions of switches: each one says 1 or 0. For fifty years, storing more meant shrinking the switch — and shrinking barely gives any more.
Our idea replaces it with a regulator: the same part that used to say two things can now say 20 or more.
Five regulators on one same channel, each with a different weight — like coins of 1, 2, 4, 8 and 16. Five knobs times five positions make 0 combinations, and each one produces a distinct current that a single meter recognizes at the output. One single readout tells it all. That is the patented trick.
On a real graphene channel, in the lab, we already distinguish 27 stable states per part. The most advanced memory in a phone distinguishes 8.
✓ Measured in the lab on a real graphene channel.
Today's commercial state of the art.
Each part goes from saying 2 things to saying 20 or more.
A normal chip stores data in one place and computes in another: every operation is a move, and moving data burns more energy than computing. In our cell, physics does the math: the current the meter reads is the voltage multiplied by the channel's aperture. Nobody computes it — it just happens, in the exact place where the data lives. Like in the brain: the warehouse is the workshop.
VOLTAGE × APERTURE = CURRENT · NEUROMORPHIC BEHAVIORGraphene: a carbon sheet one atom thick where current flows at tiny voltages and almost no heat — made by Graphenano with its own proprietary system. And white graphene: the same lattice, but insulating; a soundproof wall that cuts electrical noise up to ÷0. Less noise, more states.
Besides, the graphene channel is a reversible street: current can travel with electrons or with holes. Potentially twice the states and a spare lane — something silicon cannot do.
No impossible factory is needed. The base is a standard wafer, produced by dozens of fabs today; our layers are added on top. Without asking permission from the extreme-lithography monopoly, whose machines are built by a single company in the world and whose fabs cost more than $20 billion.
And since the cell makes almost no heat, it can be built vertically, in three dimensions — layer upon layer.
In the operation AI lives on, at the same clock.
Density of results per square millimeter.
More useful compute with the same energy.
DESIGN TARGET — pending validation in silicon. The 27 states ARE measured in the lab.
The silence of white graphene: the insulator that cuts noise up to 100 times.
Industrial-grade graphene, published and peer-reviewed.
Demonstrated. Every pillar is validated by independent labs.
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