Although the demand for data transmission is increasing globally, it is expected that the future will prioritize data-centric local intelligence at the edge node. This, in turn, will inevitably ...
TetraMem Inc., a Silicon Valley–based semiconductor company developing analog in-memory computing (IMC) solutions, today announced the successful tape-out, manufacturing, and initial silicon ...
The pursuit of high-performance and energy-efficient computing for data-intensive algorithms such as deep neural networks (DNN) opens up exciting opportunities for emerging non-volatile memories (NVM) ...
A technical paper titled “Probing Optical Multi-Level Memory Effects in Single Core–Shell Quantum Dots and Application Through 2D-0D Hybrid Inverters” was published by researchers at Korea Institute ...
Quantum computers, systems that process information leveraging quantum mechanical effects, will require faster and energy-efficient memory components, which will allow them to perform well on complex ...