Unveiling the Superior Learning Abilities of Brain Cells: New Research Shows They Outpace Machine Learning

Researchers have shown that brain cells have a faster learning rate and more efficient networking capabilities than machine learning. This was demonstrated by comparing the reactions of a Synthetic Biological Intelligence (SBI) system called “DishBrain” with state-of-the-art RL algorithms to specific stimuli. The research, published in Cyborg and Bionic Systems, was led by Cortical Labs, a Melbourne-based startup known for creating the CL1, the world’s first commercial biological computer. Through innovative methods, the study explored the dynamic network plasticity of in vitro neural systems, revealing insights into how biological neural cultures adapt and learn in real-time game environments. The findings suggest that biological systems may outperform deep RL algorithms in terms of learning efficiency, paving the way for advancements in Bioengineered Intelligence (BI) technologies.