What if the next generation of computers isn’t built entirely from silicon, but from living neurons?

In this episode of the Farabi Future Forum, we speak with Dr. Ewelina Kurtys of FinalSpark about the emerging world of biocomputing and wetware.

FinalSpark is exploring how living neurons can be used as part of computational systems, with the long-term goal of developing biological processors that could consume dramatically less energy than conventional silicon hardware.

We discuss how wetware computing actually works, why brain organoids are often misunderstood, how researchers interact with living neurons through electrical signals, and the challenge of teaching biological neural networks to perform meaningful computation.

We also explore:

• Why biological neurons can be far more energy efficient than silicon
• How wetware could work alongside traditional AI and machine learning
• Whether LLMs could eventually run on biological processors
• The tradeoff between speed and energy efficiency
• The challenge of scaling wetware into future bioservers
• How generative AI is already being used to help design experiments
• Funding challenges for long-term deep-tech research
• The ethical questions surrounding biological computing
• Why the future of computing may involve hybrid systems combining biology, silicon, AI, and other emerging technologies

A fascinating conversation about a field that is still in its early stages—but may eventually change how we think about computers altogether.

Farabi Future Forum explores emerging technologies, artificial intelligence, science, engineering, and the ideas shaping our future.