How Living Neurons Could Transform Computing and AI
In this episode of Inside Assemble AI, Dr. Ewelina Kurtys discusses the revolutionary potential of biological computing, emphasizing the efficiency of living neurons compared to traditional silicon-based systems She shares her journey into the field, the challenges of programming living neurons, and the ethical considerations surrounding this emerging technology. The conversation explores the implications for energy consumption, the future of artificial general intelligence (AGI), and the potential for hybrid computing systems that integrate biological and digital technologies.🚀 What You’ll Discover:Why biological neurons are 1,000,000x more energy efficient than siliconHow Final Spark is building thinking machines from living brain cellsThe shocking truth about AI’s energy crisis (and how biology solves it)Why biocomputers might eliminate AI hallucinationsThe ethics of programming living tissueHow hybrid silicon-quantum-biological systems will coexist



