The next evolutionary leap for AI
FROM DIGITAL TO BIO
The human brain is a powerhouse, boasting 86 billion neurons and using only 20 watts of power for efficient computing. Replicating this kind of efficiency with silicon would require a whopping 10 megawatts of power, according to Stanford University's Kwabena Boahen.
We’re creating the solution with biological neural networks. We’re growing neurons in cell cultures and making great progress in their use as computing power. Creating large networks is challenging and yet, our bio lab is actively working towards replicating and surpassing nature's success with limitless potential for enhancing life on earth. The possibilities are very exciting.
Read more about our vision.
Wetware based biocomputing is self-organizing and incorporates continuous learning. In contrast to traditional AI, wetware based AI is inherently “one for many” rather than one system for one single task.
The human brain uses just 20 Watts for 86 Billion Neurons. Biocomputing unleashes unparalleled computing power and efficiency outperforming by far the capacities of any human-made computing devices to date.
Growing and scaling biocomputers is straightforward as it is just the result of natural expansion. This process is significantly simpler than scaling silicon based CPUs and GPUs.
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