In a groundbreaking development, Australian researchers have successfully taught human brain cells to play the classic video game Doom, marking a significant leap in the field of neuromorphic computing. This achievement, led by Cortical Labs, a Melbourne-based biotech company, showcases the potential of combining living neurons with computer hardware to create novel forms of artificial intelligence.
What makes this experiment particularly intriguing is the use of human brain cells, grown from stem cells donated via blood samples, to interact with a digital environment. The setup, involving around 200,000 neurons cultured on a silicon chip, creates a biological computer that can both stimulate and read the responses of the living cells. This allows the neurons to navigate the complex, fast-paced world of Doom, making decisions and targeting moving enemies.
The initial performance of the brain cells was not impressive, with the neurons often moving into walls or firing in random directions. However, over time, the cells began to adapt, responding more accurately to on-screen threats and completing basic objectives. This improvement demonstrates the cells' ability to engage in goal-directed learning and real-time adaptation, which are challenging tasks even for traditional artificial intelligence systems.
The key to this success lies in translating the digital world of Doom into electrical patterns that the neurons could understand. When an enemy appeared, specific electrodes stimulated the cells, prompting responses such as movement or firing. Researchers monitored thousands of data points on a connected computer, gradually refining the inputs to encourage more effective play. This process allowed the neurons to learn and adapt, showcasing the potential of living neural systems in computing.
The implications of this achievement are far-reaching. Cortical Labs believes that the same technology could be used for drug testing, neurological research, and new approaches to machine learning that differ fundamentally from silicon-based AI. The team is 'just scratching the surface' of what living neural systems can achieve when paired with computers, suggesting a future where biological and digital systems work together in innovative ways.
From my perspective, this experiment raises a deeper question about the nature of intelligence and learning. It challenges our understanding of how artificial intelligence can be created and what the role of living cells might be in this process. As we continue to explore the intersection of biology and technology, this research opens up exciting possibilities for the future of computing and AI.
