Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

“Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with ...

Previously I introduced DDR4 for space applications (see “Fast DDR4 SDRAM to enable the new space age”) offering 4 GB of volatile storage at a clock frequency up to 1.2 GHz and a data rate of 2.4 GT/s ...

In 2017, the credit bureau Equifax announced that hackers had breached its system, unleashing the personal information of 147-million people. As a result, the company has settled a class action suit ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

Update 6:44 p.m.: Samsung has informed MacRumors that the original report from The Elec is "completely incorrect" and that the "details are false." While The Elec has pulled its report entirely, we ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

The portion of a computer’s RAM that is used by a hardware device such as a GPU (Graphics Processing Unit), sound card, network adapter, and other hardware components is known as Hardware Reserved.

Selecting the right amount of flash memory for an embedded application can be challenging. You want to make sure that you have enough memory to protect for future features, firmware updates, and more.