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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

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 ...
IEEE

DRL-Based Task Offloading and Resource Allocation Strategy for Secure V2X Networking

Abstract: Vehicle-to-Everything (V2X) networking is poised to further integrate vehicular communication with Mobile Edge Computing (MEC) technologies, enhancing autonomous vehicle driving and ...