Abstract: For neuromorphic engineering to emulate the human brain, improving memory density with low power consumption is an indispensable but challenging goal. In this regard, emerging RRAMs have ...

Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...

This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...

Readers Edition. This is the (nearly) annual tradition of you, RPS readers, telling us where we went wrong in our annual ...

While it may seem like things in the commercial AV industry just kept cranking along through 2025 as they have in recent years, there are several impactful trends that emerged or solidified themselves ...