This article examines five key hardware strategies for building energy-efficient AI acceleration: dedicated accelerator ...

A technical paper titled “Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In2Se3 for stacked in-memory computing array” was published by researchers at Samsung Electronics and ...

More information: Tinish Bhattacharya et al, Computing high-degree polynomial gradients in memory, Nature Communications (2024). DOI: 10.1038/s41467-024-52488-y ...

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

A research team from the University of California, Santa Barbara, has developed a photonic platform for in-memory computing that addresses challenges such as low switching speeds and limited ...

Until now, researchers have been limited in developing photonic memory for AI processing – gaining one important attribute like speed while sacrificing another like energy usage. In the ...

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

Compute-in-memory uses a different approach, storing a weight coefficient as analog values in a specially designed transistor cell sub-array with rows and columns. The incoming digital data words ...