UNISYST MRAM unifies code storage and data memory in a high-density, non-volatile architecture for edge AI, industrial and mission-critical designs Everspin Technologies, Inc. (NASDAQ: MRAM), the ...

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 ...

Rapid advances in microelectronics are driving mega trends across industries, creating a need for new technologies and optimized devices with better performance. With large volumes of data being made ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights and activations back and forth between memory banks and processing cores ...

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 ...

Next-generation automotive systems are advancing beyond the limits of currently available technologies. The addition of advanced driver assistance systems (ADAS) and other advanced features requires ...

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...

It seems a new memory technology is needed to shrink MCUs and SoCs without redesigning the memory system and keep costs in check. It’s expected that, over the next decade, an emerging memory (PCM?

A memory module is set to power AI servers with higher speed, lower energy use, and smoother performance for large AI ...

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 ...