Finite-State Automata Reduce Edge AI Power Consumption
Replacing arithmetic-heavy networks with finite-state learning automata cuts edge energy draw without turning decision logic into an unreadable black box.
Running artificial intelligence at the microedge hits an immediate bottleneck when continuous arithmetic drives power consumption past strict hardware budgets. The Tsetlin machine replaces standard arithmetic compute with