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 ...

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 ...

A lot of the attention in the race to meet the processing needs of artificial intelligence and machine learning has focused on state-of-the-art GPUs able to process data at breathtaking speeds. But an ...

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?

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 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 ...

At the start of the year, I highlighted key trends in 5 Embedded Software Trends to Watch in 2024, predicting the forces shaping the industry. As the year unfolded, many of these trends indeed drove ...

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 ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has started sampling [1] new Automotive Universal Flash Storage [2] (UFS) Ver. 3.1 embedded ...