Today’s large AI models are pushing the limits of silicon and our energy supply.
Training and running them is expensive, slow, and environmentally costly.
Even the most advanced AI models can’t adapt without retraining, and they still lack true contextual understanding, planning, reasoning, and memory.
The measure of true intelligence is the brain.
It’s efficient, adaptive, and constantly integrating what it learns into a living whole.
Right now, we are using living neurons to translate biological insights into software that improves how today’s AI models train and perform.
Next, we will build better computers that can learn, adapt to new environments, and compute for a fraction of the time, energy, and training cost of silicon.
By training living neurons to process information and applying those lessons to the next generation of computing systems, we make training and inference for artificial intelligence models better and more efficient.
Team
Founded by neurosurgeons, technologists, and scientists, The Biological Computing Co. unites neuroscience, machine learning, and bioengineering to pioneer a new class of computing.
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We’re assembling the best team in the world to build the next substrate of intelligence.
