Researchers at Indiana University have developed tiny brain-like cell bundles called organoids and connected them to a computer chip, creating a system dubbed “Brainoware” that can perform basic speech and math tasks.
The organoids contain specialized stem cells that develop into neuron bundles, like those found in the brain. Although they are minute in size, they exhibit key properties of neural networks when interfaced with algorithms.
In tests, Brainoware distinguished individuals’ voices and solved chaotic math problems, outperforming conventional AI models. It provides a concept demonstration for biocomputing, leveraging biological neural networks for efficient information processing. In addition, you can also read an article on- GPT66X: Unlock New Possibilities with this Revolutionary AI Language Model
Significant advantages include the extreme energy efficiency of biological neural tissue versus traditional computing. This could enable progress on portable or implantable biocomputing devices.
Applications could include studying brain disorders, decoding neural signals during sleep, or even capturing dream activity. However, keeping organoids healthy over long periods poses engineering obstacles.
Ethical considerations around human-based biocomputing also need examination as the field evolves. But current research represents early steps toward understanding brain function and cognition on a cellular level.
You May Find Interest: Google Unveils Powerful New AI System Gemini Rivaling ChatGPT