“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 ...

Company expands collaboration with DB HiTek towards AI in-memory-compute applications -- Weebit Nano Limited (ASX:WBT) ...

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, ...

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 ...

The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has systematically reviewed the latest advances in emerging memristors for in-memory ...

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 ...

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) ...

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.

Texas Memory Systems today unveiled its fastest and highest capacity solid state disk (SSD) system, the RamSan 6200, which offers as much as 100 terabytes of capacity in a single 40U rack ...

Many Hackaday readers will be familiar with the term “core memory”, likely thanks to its close association with the Apollo Guidance Computer. But knowing that the technology existed at one point and ...