The lightweight allocator demonstrates 53% faster execution times and requires 23% lower memory usage, while needing only 530 lines of code. Embedded systems such as Internet of Things (IoT) devices ...

Poor memory-management practices have been the cause of over 70% of the vulnerabilities found in today’s software. This can lead to a host of problems from programs that fail or degrade to providing ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

Much like the end of Moore’s Law, the scaling challenges of flash memory have been a significant issue for several years. Embedded flash memory is reaching its limits as technology nodes for embedded ...

Memory safety issues are one of the leading causes of security vulnerabilities in computing systems, including embedded systems. In programming languages like C/C++, developers are expected to manage ...

A team of researchers from leading institutions including Shanghai Jiao Tong University and Zhejiang University has developed what they're calling the first "memory operating system" for ai, ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

We’ve explored each element in detail except for secure storage in the previous posts. Today’s post will dive deeper into secure storage and how it applies to embedded systems. Secure storage is often ...

Selecting the right amount of flash memory for an embedded application can be challenging. You want to make sure that you have enough memory to protect for future features, firmware updates, and more.