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

Causal CSI-Based Trajectory Design and Power Allocation for UAV-Enabled Wireless Networks Under Average Rate Constraints: A Constrained Reinforcement Learning Approach

Abstract: With their flexible deployment and cost-effectiveness, unmanned aerial vehicles (UAVs) are unlocking possibilities for connectivity and services in future wireless networks. The mobility of ...
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 ...