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Organoid Intelligence: Next step in Biocomputing


Organoid intelligence (OI) is a novel and exciting field that aims to create biological computing systems using 3D cultures of human brain cells, also known as brain organoids. In this article, we will explore what organoid intelligence is, how it works, what are its potential applications and challenges, and some real-world examples of OI research.

What is organoid intelligence?


Organoid intelligence is the ability of brain organoids to exhibit certain behaviors or responses that are indicative of intelligence, such as problem-solving, learning, or adapting to changing environments. Brain organoids are miniature versions of the human brain that are grown in the lab from stem cells. They contain neurons and other brain cells that form connections and networks, similar to the natural brain. Each organoid has about the number of cells one would find in a fruit fly's nervous system and is about one-three-millionth the size of the human brain.

How does organoid intelligence work?


To achieve organoid intelligence, brain organoids need to be scaled up into complex, durable 3D structures enriched with cells and genes associated with learning, and connected to next-generation input and output devices and AI/machine learning systems. These devices and systems can provide stimuli and feedback to the organoids, as well as monitor and analyze their activity and responses. By doing so, researchers can create biocomputers that can perform tasks that are beyond the capabilities of conventional computers or artificial intelligence.

What are the potential applications of organoid intelligence?


Organoid intelligence has many potential applications in various fields, such as medicine, neuroscience, engineering, and ethics. Some examples are:

- Drug discovery and testing: Organoid intelligence could be used to screen and evaluate new drugs for diseases that affect the brain, such as Alzheimer's, Parkinson's, or Epilepsy. By using human brain cells, organoid intelligence could reduce the need for animal testing and increase the accuracy and relevance of the results.

- Brain research and modeling: Organoid intelligence could help researchers understand how the human brain works, how it develops, how it learns, and how it is affected by diseases or injuries. Organoid intelligence could also help model complex brain phenomena, such as consciousness, memory, or emotions.

- Biocomputing and artificial intelligence: Organoid intelligence could revolutionize computing and artificial intelligence by creating biocomputers that are faster, more efficient, more powerful, and more adaptable than silicon-based computers. Organoid intelligence could also enable new forms of human-machine interaction and collaboration.

Real-world examples of organoid intelligence research


Organoid intelligence is a rapidly growing field that has already produced some remarkable results. Here are some examples of recent OI research:

- In 2023, a team of researchers from Johns Hopkins University announced a plan to create biocomputers using networks of brain organoids connected to input/output devices and AI systems. The researchers envision that these biocomputers could be used for drug testing, brain research, and biocomputing.

- In 2022, a team of researchers from UC San Diego reported that they had grown brain organoids containing Neanderthal DNA. The researchers found that these organoids had different shapes and sizes than human ones, suggesting that they may have different cognitive abilities. The researchers hope to use these organoids to study the evolution of human intelligence.

- In 2021, a team of researchers from Australia created a hybrid system that combined brain organoids with a machine learning algorithm. The system was able to learn from its own experiences and perform tasks such as playing video games or controlling a robotic arm.

What are the challenges of organoid intelligence?


Organoid intelligence is a very new and ambitious field that faces many scientific, technical, ethical, and social challenges. Some of these are:

- Scalability and complexity: Organoid intelligence requires scaling up brain organoids into large-scale networks that can mimic the complexity and functionality of the human brain. This involves overcoming technical hurdles such as providing adequate nutrients, oxygen, and electrical stimulation to the organoids, as well as ensuring their stability and reproducibility.

- Ethical and social implications: Organoid intelligence raises many ethical and social questions about the nature and status of brain organoids, their rights and responsibilities, their potential risks and benefits, their impact on society and humanity, and their regulation and governance.


Organoid intelligence is a fascinating field that promises to advance our knowledge of the brain, improve our health and well-being, and transform our technology and society. However, it also poses many challenges and questions that need to be addressed by researchers, policymakers, and the public. Organoid intelligence is not only a scientific endeavor, but also a philosophical and ethical one that requires us to rethink our relationship with ourselves, our machines, and our environment.

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