Most applications that require a microcontroller also require somemechanism to store settings that will be remembered even when power isremoved. For example, a radio that forgets its station presets ...

At some point when developing embedded applications, you’re going to want to store unique values in non-volatile memory, values that can’t be fixed at compilation time. Many microcontrollers have a ...

Non-volatile memory (NVM) systems and architectures have emerged as pivotal components in modern computing, offering the combined benefits of data persistence and enhanced energy efficiency. With ...

Today's mobile phones are used for a myriad of new applications that involve storing sensitive data and providing such secure services as mobile payments. With phones storing more critical information ...

Ongoing innovation in semiconductor technologies, algorithms and data science are making it possible to incorporate some degree of AI inferencing capability in an increasing number of edge devices.

In the distant past, in techno years, semiconductor memories were discrete devices that stored information separately from other primary system functions. Over time, processors combined memory on-chip ...

Researchers at Institute of Science Tokyo have created a new material platform for non-volatile memories using covalent organic frameworks (COFs), which are crystalline solids with high thermal ...

In the era of big data and machine learning technology, performing low-power in-memory computing operations is becoming an increasingly important requisite. While much advance has been achieved in ...

A long-running problem in the computer world is that DRAM is the fastest memory available but also volatile, so it can't hold onto its data when power is shut off. This makes it useless for data ...

Non-volatile memory is becoming more complicated at advanced nodes, where price, speed, power and utilization are feeding into some very application-specific tradeoffs about where to place that memory ...