Memory Know-How

Counterfeit products pose health and safety threats but also impact the economic growth of legitimate businesses. Traditional digital authentication via challenge–response with stored keys is increasingly susceptible to key leakage and cloning.

Together with Ramxeed, we have outlined a FeRAM-based, encryption-less authentication (“spectral authentication”) approach that leverages the intrinsic analog pulsation signature generated during FeRAM switching.

Smart meters and AI-based edge data loggers enable accurate, real-time monitoring of energy consumption and industrial parameters. They continuously record data, transmit it wirelessly, and support over-the-air (OTA) updates. The memory embedded in these devices must offer not only non-volatility and fast access but also high durability.

MRAM addresses these demands more effectively than traditional options.

As AI is shifting from hyperscalers in data centers to the edge, the need for memory is changing. In this article for Wevolver, we explore how three edge AI architectures; robotics, system-on-modules (SoMs), and medical devices, are driving this shift, and how MRAM and FeRAM are enabling smarter, more resilient memory at the edge. Read all about it here

Robotic systems, particularly those relying on Human-Machine Interfaces (HMIs), require memory components capable of high-speed data writing, non-volatility, and resilience under harsh operating conditions.

In this paper, we compare EEPROM with FeRAM and outline why it represents a superior choice for high-reliability, low-latency factory automation applications.

As fire suppression and safety systems evolve toward greater intelligence and autonomy, memory components play a central role in ensuring system reliability, data integrity, and real-time responsiveness. This paper we compare Ferroelectric RAM (FeRAM) with other mainstream memory technologies like EEPROM, Flash, MRAM, SRAM, and DRAM, and defines the Critical-to-Quality (CTQ) attributes required in the context of fire suppression, especially gas-based suppression systems, which demand the highest reliability and compliance.

Elevator control systems are vital components in modern infrastructure, ensuring safe and efficient vertical transportation. These systems face critical challenges, particularly in power loss scenarios and environments requiring high-frequency data logging. Traditional memory technologies like EEPROM and Flash often fall short in endurance, speed, and reliability. Ferroelectric Random Access Memory (FeRAM) presents a breakthrough alternative with its non-volatile characteristics, superior write endurance, and high-speed operation.

The global market for pet wearables—particularly smart collars that combine GPS tracking with health monitoring—is undergoing rapid growth. However, the reliability, responsiveness, and power efficiency of these devices depend heavily on underlying memory technologies. This paper explores market dynamics, core applications, and the integration of FeRAM into key use scenarios.

Urbanization, climate change, and industrialization have significantly impacted air quality, elevating the urgency for intelligent, distributed monitoring systems. To achieve this, edge-intelligent nodes are needed that integrate optical sensing, embedded AI inference, and non-volatile memory technologies—specifically MRAM and FeRAM. Here we outline how.