While in-memory computation can be performed digitally, this work focuses on its analog implementation, using actual current or charge values. Analog in-memory computing (AiMC) presents several ...

In contrast, digital in-memory computing based on Boolean logic is robust to errors but less energy-efficient. In this paper, we propose a new paradigm called hybrid analog-digital in-memory computing ...

Unlike digital IMC, analog IMC performs operations like multiplication and addition in the analog domain. It may use new types of devices, manufactured using new materials that offer higher ...

A technical paper titled “Benchmarking and modeling of analog and digital SRAM in-memory computing architectures” was published by researchers at KU Leuven. Abstract: “In-memory-computing is emerging ...

Explore the unique strengths and differences between the electronics industry’s most common method of computing.

Source: Sagence AI For a start, in-memory compute aligns closely with the essential elements of efficiency in AI inference applications. It merges storage and compute inside memory cells to eliminate ...

The IGZO-based 2TnC DRAM cells can accomplish ML inference much more efficiently than what's possible today.

A team of engineers has proven that their analog computing device, called a memristor, can complete complex, scientific computing tasks while bypassing the limitations of digital computing.

Today, most of what we think of as a computer uses digital technology. But that wasn’t always the case. From slide rules to mechanical fire solution computers to electronic analog computers ...

TetraMem is a semiconductor startup based in Fremont, California. They utilize an in-memory computing (IMC) structure with proprietary computing memory device solutions to improve computing ...