Linear A makes machine learning viable on emergent execution environments.
We are witnessing a marvel of machine learning transforming human productivity and creativity. However, software and hardware restrictions make it nearly impossible for developers to harness these capabilities in emergent execution environments, notably zero-knowledge-proof systems.
Linear A addresses the problems faced by this burgeoning trio of machine learning practitioners, system architects, and hardware designers through open-access, collaboratively-engineered initiatives.