AI chips powered by brain cells? Possible
Deep learning, natural language processing, and robotics have all made significant advances in artificial intelligence (AI) over the past decade. However, the human brain still outperforms even the world's most powerful computers in terms of adaptability, parallel processing, and energy efficiency. Scientists are beginning to look within themselves, toward biology, for inspiration and even integration as AI demands more computational resources. Labs all over the world are now asking the bold and fascinating question, "Can brain cells be used to power AI chips?" Understanding the Advantage of the Brain over Silicon Despite having approximately 86 billion neurons and 100 trillion synapses, the human brain requires less power than a typical light bulb to function. In contrast, training a large language model may necessitate massive server farms and megawatts of energy. What is the advantage of the brain? primarily, its construction. The brain's massively parallel, self-organizing, and plastic neural network has the ability to rewire itself in response to experience. Synapses are more than just binary switches; they are also dynamic memory and computation centers. The brain has become a model for neuromorphic engineering, in which hardware engineers attempt to mimic biological neural systems because of its complexity, compactness, and efficiency. However, what happens if we move beyond imitation to integration? The Concept of Organoid Intelligence Organoid intelligence (OI) is a groundbreaking interdisciplinary field that has emerged in recent years. It combines neuroscience, stem cell biology, and AI to develop living brain-like structures—called organoids—for computing tasks.
