In a groundbreaking study titled “Brain Organoid Computing for Artificial Intelligence,” researchers from the Indiana University of Bloomington, the University of Florida, and the University of Cincinnati School of Medicine have achieved a remarkable feat in the field of AI. By cultivating clusters of stem cells that evolved into neurons, the researchers created brain organoids that were linked to a circuit board via electrodes, allowing for machine-learning algorithms to interpret their responses.
Unlike traditional 2D cultures and neuromorphic chips, these brain organoids, known as Brainoware, exhibit advancements in complexity, connectivity, neuroplasticity, and neurogenesis. With minimal energy consumption and rapid learning capabilities, Brainoware represents the future of AI hardware, aiming to replace artificial neural networks (ANNs).
A practical demonstration of Brainoware’s capabilities involved speech recognition tasks, where the system achieved 78% accuracy. By converting recordings of Japanese speakers into electrical pulses and training the AI to identify the speaker based on the neural activity of the brain organoid, the researchers showcased the potential of this novel biohybrid computer.
While Brainoware currently falls short compared to traditional computing systems in terms of speech recognition accuracy, it presents a crucial step towards more advanced biocomputing systems. Current brain-inspired silicon chips struggle to replicate the complexities of brain function efficiently, making Brainoware a promising solution by leveraging living biological neural networks within 3D brain organoids.
This integration of human biology into computing opens up possibilities for organoid intelligence (OI), where systems would be powered by living human brain cells. OI could revolutionize real-world applications such as nonlinear equation solving and studying neurological conditions. By comparing memory formation in organoids from healthy individuals and those with Alzheimer’s, researchers could gain insights for potential treatments. Additionally, the impact of substances like pesticides on learning and memory could be explored.
In a world where Elon Musk is implanting chips in human brains, researchers are pushing the boundaries by planting brains inside chips. The future of computing is on the brink of a transformative era, where the power of neural networks and artificial intelligence converge in unprecedented ways.
The source of the article is from the blog crasel.tk