Division
SHV BioEngineering & Neural Biology
The interface between brains and machines. This division explores how biological learning, neuroplasticity, and brain architecture can inform—and eventually integrate with—SHV intelligence systems.
Mission
Understand how biological brains work at a systems level, and use those principles to design better AI and future interfaces between humans and machines.
Focus areas
- • Computational models of neuroplasticity.
- • Brain-inspired world modeling and memory.
- • Mapping neural dynamics to learning algorithms.
- • Long-term research into neural interfaces.
Connection to SHV products
Work here informs Eunoia Sigma and other core models, grounding SHV's architecture in real neuroscience instead of abstract theory alone.
See related research →Collaborations
SHV collaborates with neuroscientists, clinicians, and research labs. Long-term, some work here may support ethical bioengineering and neural augmentation projects.
Reach out about neuroscience work →Join the division
Ideal team members move across neuroscience, machine learning, and systems thinking—and are comfortable working with slow, multi-year problems.
See roles at SHV →