By Anna Demming
Publication Date: 2026-02-21 15:00:00
Scientists have built a “thermodynamic computer” that can generate images from random data disturbances, i.e. noise. In doing so, they imitated the generative artificial intelligence Neural Network (AI) Capabilities – Collections of machine learning algorithms modeled on the brain.
Above absolute zero temperatures, the world hums with energy fluctuations called thermal noise, which manifest themselves in wiggling atoms and molecules, changes in direction on the atomic scale for the quantum property that gives magnetism, and so on.
Today’s AI systems – like most other current computer systems – produce images using computer chips, where the energy needed to flip bits dwarfs the amount of energy in the random fluctuations of thermal noise, making the noise negligible.
But a new “generative thermodynamic computer” works by exploiting the noise in the system rather than regardless of it, meaning it can complete computational tasks in orders of magnitude less time…