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

Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

Abstract: In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-ground ...
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 ...