One notable example is in-memory computing based on crossbar arrays of non-volatile memories that execute, in an analogue manner, multiply–accumulate operations prevalent in artificial neural networks ...

Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of ...

Array-level circuit simulation at 22 nm node shows the energy consumption of a capacitive crossbar array is 20–200× lower than the resistive crossbar array counterpart. Moreover, analog-shift-and-add ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

More information: Yuting Liu et al, Cryogenic in-memory computing using magnetic topological insulators, Nature Materials (2025). DOI: 10.1038/s41563-024-02088-4 Provided by Hong Kong University ...

Part of IBM's answer to this challenge is an analog phase-change memory (PCM) chip, currently implemented in prototype as a 500-by-2,000 crossbar array consisting of one million nanoscale PCM devices.

A paper describing their work, "Computing High-degree Polynomial Gradients in Memory," appears in the journal Nature Communications. "The objective function of any optimization problem, such as an ...

In-memory computing also allows organisations to slim down the computer infrastructure and software needed to carry out analytics, he said, as current analytics systems require the same data to be ...

Prof. Shao highlighted, “This breakthrough marks the first demonstration of Hall current summation scheme for low-power in-memory computing, especially at cryogenic temperatures.