Resistive random access memory (RRAM)-based hardware accelerators are playing an important role in the implementation of in-memory computing (IMC) systems for artificial intelligence applications. The ...

The Nexus supercomputer at Georgia Tech will provide a robust and diverse array of AI software and hardware. A simple, ...

A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing” was published by researchers at University of Wisconsin–Madison and USC. Abstract “Traditional von Neumann architectures ...

Automated test equipment market is pivoting from speed-centric instruments toward cloud-anchored, AI-driven, mixed-signal ...

A parallel multiphysics simulation solver is developed to solve electromagnetic-thermal-mechanical coupling for some challenging large-scale antenna arrays. To achieve high scalability of ...