RRAM hasn't delivered yet, but stacked memory is being pitched to run neural networks in place

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...
IEEE

Reinforcement Learning-Based Dynamic Beam Hopping and Power Allocation for RSMA-Assisted Constrained-Input Satellite System

Abstract: This paper investigates a dynamic beam hopping and power allocation problem in rate-splitting multiple access (RSMA) assisted multi-beam satellite system, in which beam services are ...
IEEE

IDWA: A Importance-Driven Weight Allocation Algorithm for Low Write–Verify Ratio RRAM-Based In-Memory Computing

Abstract: Resistive random access memory (RRAM)-based in-memory computing (IMC) architectures are currently receiving widespread attention. Since this computing approach relies on the analog ...
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OpenAI solves the stack memory problem

For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...