Revolutionizing Computing: The World's First Commercial Biological Computer

Cortical Labs, an Australian startup, has unveiled the CL1, the world’s first commercial biological computer that fuses lab-grown human neurons with silicon chips. This cutting-edge device represents a major leap in artificial intelligence, introducing a new, more sustainable form of AI known as Synthetic Biological Intelligence (SBI).
The CL1: Blending Biology with Technology
The CL1 works by cultivating human neurons in a nutrient-rich medium, allowing them to grow and interact with a silicon chip. This setup enables the seamless exchange of electrical signals between biological and electronic components. At its core is Cortical Labs' Biological Intelligence Operating System (biOS), which allows the neurons to execute code and perform computational tasks. By integrating biological neurons with silicon hardware, the CL1 can learn and adapt more efficiently than traditional computers—while consuming far less energy.
Demonstrated Capabilities and Potential
During previous experiments, CL1 prototypes—containing around 800,000 human and mouse neurons—learned to play the video game Pong. Not only did the neurons adapt to the game, but they also exhibited a form of sensitivity to the virtual environment. This breakthrough suggests that CL1 could revolutionise fields like artificial intelligence and robotics, offering more adaptable, efficient computing solutions.
Ethical Considerations and Future Outlook
The development of the CL1 raises ethical questions regarding the consciousness and sensitivity of the neurons involved. Cortical Labs acknowledges these concerns and has implemented safeguards, though specific details remain undisclosed. The company is committed to making this technology accessible to researchers without requiring specialised hardware or software. The CL1 is expected to go on sale in June 2025, with a price tag of approximately $35,000.
Conclusion
The launch of the CL1 marks a groundbreaking shift in computing, merging biological intelligence with traditional silicon-based systems. As this technology continues to evolve, it has the potential to redefine industries by delivering smarter, more adaptive, and energy-efficient artificial intelligence solutions.
By Stefania Ambela, Communications Specialist, iTechscope, 18/03/2025