A 28 nm AI microcontroller with tightly coupled zero-standby power weight memory featuring standard logic compatible 4 Mb 4-bits/cell embedded flash technology
This microcontroller addresses the need for efficient, low-power AI acceleration in edge AI applications, particularly for battery-powered devices.
This study tackled the problem of creating a cost-effective, battery-powered edge AI microcontroller, resulting in a 28 nm AI microcontroller with tightly coupled zero-standby power weight memory that maintains accuracy after 160 hours of unpowered baking at 125$^circ$C. The microcontroller features 4 Mb 4-bits/cell embedded flash technology.
This study introduces a novel AI microcontroller optimized for cost-effective, battery-powered edge AI applications. Unlike traditional single bit/cell memory configurations, the proposed microcontroller integrates zero-standby power weight memory featuring standard logic compatible 4-bits/cell embedded flash technology tightly coupled to a Near-Memory Computing Unit. This architecture enables efficient and low-power AI acceleration. Advanced state mapping and an overstress-free word line (WL) driver circuit extend verify levels, ensuring robust 16 state cell margin. A ping-pong buffer reduces internal data movement while supporting simultaneous multi-bit processing. The fabricated microcontroller demonstrated high reliability, maintaining accuracy after 160 hours of unpowered baking at 125$^\circ$C.