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MIT’s chip stacking leap could slash energy use for hungry AI chips

Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
Live Science

MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes

Engineers from MIT say that stacking circuit components on top of each other could be the answer to creating more ...
IEEE

Deep Reinforcement Learning-based Resource Allocation for Reliable Multi-UAV Communication Networks

Abstract: In this paper, we study a joint spectrum allocation and power selection management problem for multi-unmanned aerial vehicle (UAV) communication network in the presence of malicious jammers.
IEEE

SAC-Based Offloading and Resource Allocation Optimisation for a Low-Altitude Economy Network

Abstract: Driven by the prosperous vision of 6G-empowered low-altitude economy (LAE) network, integration with mobile edge computing (MEC) is expected to primarily address the trade-off between ...