ANAFLASH publishes A-SSCC 2025 paper
The paper details a 28nm AI microcontroller with zero-standby power weight memory using 4 Mb 4-bits/cell embedded flash for low-power edge AI.
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Data-centric processor solutions for edge devices
anaflash.comLast updated
In short: ANAFLASH expanded its edge AI technology through the acquisition of Legato Logic and successful hardware fabrication using 22nm and 28nm processes.
The paper details a 28nm AI microcontroller with zero-standby power weight memory using 4 Mb 4-bits/cell embedded flash for low-power edge AI.
It addresses inefficiencies in von Neumann architectures and limitations of charge- and current-domain CiM, offering wide dynamic range, ultra-low power, and digital scalability for AI accelerators.
ANAFLASH develops an AI MCU using Samsung Foundry’s 28 nm process and Logic-EFLASH technology for energy-efficient smart edge devices. The collaboration originated via SEMIBRAIN's contest win.
ANAFLASH presents its Reflex Computing Unit, integrating embedded FLASH for efficient parallel AI inferencing, reducing energy overhead.
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