Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency calculations. The memory cell enables users to run high-speed computations ...

In an effort to help used-car managers complete the floor-planning process as quickly as possible, NextGear Capital recently tapped Violin Memory, a provider of persistent memory-based storage ...

Violin Memory has raised $35 million in a second round of funding for its new breed of flash memory chips for corporate data centers. The company aims to improve storage so that tasks that once took ...

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 ...

A new technical paper titled “Embedding security into ferroelectric FET array via in situ memory operation” was published by researchers at Pennsylvania State University, University of Notre Dame, ...

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.

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 ...

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 ...

Scalable memory array developer Violin Memory this week unveiled a new multiterabyte capacity solid-state cache memory system aimed at increasing the storage performance of enterprise applications.

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 ...

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 ...