— Ch. 1 · Defining Biological Wetware —
Organoid intelligence.
~3 min read · Ch. 1 of 5
In 2019, researchers at Johns Hopkins University began using the term organoid intelligence to describe a new field combining computer science and biology. This emerging discipline creates biological hardware from three-dimensional cultures of human brain cells known as cerebral organoids. Scientists refer to these systems as OIs or sometimes as nervous filesystems. The goal is to replace traditional silicon chips with living tissue that can process information differently than standard computers. Thomas Hartung, a professor at Johns Hopkins, stated that while silicon-based computers handle numbers better, brains excel at learning. These lab-grown structures do not yet think like regular human brains but offer potential for understanding development and memory. Current research focuses on improving neurological disorder treatments such as dementia through this unique approach.
Energy Efficiency And Learning
Scientists compare the energy consumption of organoid intelligence against traditional silicon-based computing systems to highlight efficiency gains. Brain organoids require only a fraction of the energy needed by conventional machines to perform complex tasks. Training these systems involves biological learning rather than machine learning used in artificial intelligence. Experts claim that even though human brains are slower at processing simple data, they outperform non-organic machines when handling uncertain or incomplete datasets. Brains perform both sequential and parallel processing simultaneously while maintaining high heterogeneity. Thomas Hartung argued that future silicon chips may reach physical limits where adding more transistors becomes impossible. In contrast, biological wiring offers greater potential for storage and computing power without massive energy costs. This difference suggests that OI could eventually surpass current AI capabilities in specific decision-making scenarios.