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 ...

With the widespread use of heterogeneous computing platforms in the AI field, neural network models on heterogeneous computing platforms are experiencing problems such as low execution efficiency and ...

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