Content Addressable Memory (CAM) architectures provide a powerful approach to high-speed data searches by comparing search data against an entire memory in parallel, rather than relying on sequential ...

“In-memory computing is an attractive alternative for handling data-intensive tasks as it employs parallel processing without the need for data transfer. Nevertheless, it necessitates a high-density ...

(Nanowerk Spotlight) The miniaturization of electronic components has been a driving force in technological advancement, pushing the boundaries of computing power and efficiency. As silicon-based ...

Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...

For decades, compute architectures have relied on dynamic random-access memory (DRAM) as their main memory, providing temporary storage from which processing units retrieve data and program code. The ...

The big picture: If successfully scaled to industrial production, these chips could extend Moore's Law into the atomic domain by enabling far greater component density without incurring unsustainable ...

SanDisk on Wednesday introduced an interesting new memory that could wed the capacity of 3D NAND and the extreme bandwidth enabled by high bandwidth memory (HBM). SanDisk's high-bandwidth flash (HBF) ...