Biocomputers: When Living Neurons Become Hardware

In this session, Ewelina Kurtys introduces a radically different approach to computing: building processors from living neurons.

You’ll see how biological neural networks can function as computing systems, why they could be orders of magnitude more energy efficient than traditional hardware, and how researchers and engineers can begin exploring this emerging field today.

Key Takeaways

• How computers can be built using networks of living neurons
• Why biological computing could dramatically reduce the energy cost of AI
• How researchers and engineers can remotely experiment with this emerging technology

Who Is This For?

Developers curious about the future of computing Engineers interested in AI infrastructure and hardware Anyone fascinated by emerging technologies and research If you enjoy exploring new technological frontiers, this session will give you a glimpse of what might come next.

Level

All levels

No prior knowledge of neuroscience or biology is required.

What This Session Covers

• The concept of biological computing
• How FinalSpark grows and connects living neurons to form computing systems
• Why biological processors could be vastly more energy efficient than silicon
• How the FinalSpark neuroplatform allows remote experimentation with biocomputing

What It’s Not

• Not a programming tutorial
• Not a neuroscience deep dive
• Not a commercial product pitch

Format

Slides Conceptual overview of the technology and research.

Full Description

AI systems are becoming increasingly powerful — and increasingly energy-hungry. As demand for computing continues to grow, researchers are exploring radically different approaches to building computers.

One of the most unusual directions comes from biological computing. Instead of silicon processors, researchers are experimenting with networks of living neurons as computing substrates.

At FinalSpark, scientists are growing neurons in controlled environments and connecting them into biological neural networks capable of performing computational tasks. These living systems could potentially be millions of times more energy efficient than traditional hardware.

In this session, Ewelina Kurtys introduces the emerging field of biocomputing, explains how living neurons can function as computing systems, and shows how researchers and organizations can remotely access the FinalSpark neuroplatform to explore this technology.

The goal is not to replace today’s computers tomorrow, but to explore a radically different path for the future of computing.