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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

A Complementary 3T-Based eDRAM Macro for High-Density Dual-Direction CAM and Logic-in-Memory

Abstract: Content-addressable memory (CAM) is regarded as an attractive solution for data-intensive applications with high-density search demands. To further improve functional flexibility yet at a ...
IEEE

Joint Task Offloading and Resource Allocation in RIS-assisted NOMA-VEC Intent-based Networking

Abstract: In Intent-based Vehicular Edge Computing (VEC) networking, escalating demands for computational offloading and resource management in dynamic urban environments necessitate innovative ...
Scientific Research Publishing

Xu, Y., Gui, G., Gacanin, H. and Adachi, F. (2021) A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges. IEEE ...

ABSTRACT: The study aims to provide insights into the benefits and potential risks associated with its adoption. The findings will be valuable for organizations considering transitioning to SDN, ...
Science Daily

A new drug could stop Alzheimer’s before memory loss begins

New research suggests Alzheimer’s may start far earlier than previously thought, driven by a hidden toxic protein in the brain. Scientists found that an experimental drug, NU-9, blocks this early ...
Frontiers

Breaking the memory wall: next-generation artificial intelligence hardware

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...