Cyborg computer with living brain organoid aces machine learning tests

Dec 12, 2023 ·

A team of scientists from the University of Tokyo have developed a hybrid brain-organoid computing system that combines a simulated brain network with an artificial organoid. The results, published in the journal Science Robotics, demonstrate how artificial intelligence can be used to imitate complex neural networks in living organisms.

In this research, scientists combined a simulated brain network and an artificial organoid (a 3D structure composed of human stem cells) to create an artificial brain-like system. This was made possible by connecting neurons and glial cells in the artificial organoid to neurons in the simulated brain network. The team then fed the artificial neural circuit with different types of inputs and observed how it responded.

The researchers found that the simulated brain network was able to adapt to changes in the environment and responded in a similar manner to that of a real neural network. Additionally, they noted that the artificial organoid was capable of learning more complex patterns than when using the simulated brain network alone.

The implications of this research are significant as it could lead to advances in artificial intelligence and robots that behave more like humans or animals. It could also be used to develop medical treatments for neurological diseases. In addition, this technology could be used to create robotic prosthetics that mimic the movements of a limb, providing a more natural experience for people with physical disabilities.

Overall, this research demonstrates the potential for combining simulated brain networks and artificial organoids to create powerful and sophisticated hybrid computing systems. These systems could be used to study diseases, create new therapies for neurological disorders, and even develop robotic prosthetics that are more responsive and lifelike.