In Chasing Biological Efficiency, Innovators Are Turning To “Analog”

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.
Science Daily

Artificial neurons that behave like real brain cells

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...
IEEE

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...
eeworldonline

FAQ on Resistive Random Access Memory (RRAM)

There are many non-volatile memory technologies in use; RRAM is another option — maybe. Random access memory (RAM), sometimes called by a more descriptive name of read/write (R/W) memory, is critical ...
IEEE

A Multi-Mode Configurable Physical Unclonable Function Based on RRAM With Adjustable Programmable Voltage

Abstract: Resistive random access memory (RRAM) presents a promising solution for energy-efficient logic-in-memory (LiM) systems. This paper introduces a Multi-mode Configurable Physical Unclonable ...