Results 191 to 200 of about 1,622,314 (332)
Crystal IO FETs feature (1) extremely low off current and (2) high on current. For ultralow‐power consumption, we are aiming at replacing conventional memories by crystal IO‐based memories and ultralow‐power ALUs using AiMC FETs in the subthreshold regime. This report will introduce the trend of these technologies.
Shunpei Yamazaki +27 more
wiley +1 more source
Optimizing Video Caching and Transcoding in Multi-Access Edge Computing Using Deep Reinforcement Learning [PDF]
Shizhan Lan, Weifeng Lai, Zhenyu Wang
openalex +1 more source
Ultra Dense Edge Caching Networks With Arbitrary User Spatial Density [PDF]
Emanuele Gruppi +3 more
openalex +1 more source
Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training
ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro +5 more
wiley +1 more source
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
XStreamVGGT enables memory‐efficient streaming 3D inference by jointly pruning and quantizing the KV cache. It reduces memory by 4.42× and accelerates inference by 5.48×, with negligible performance loss on depth, reconstruction, and pose estimation, overcoming the unbounded cache growth of StreamVGGT.
Zunhai Su +7 more
wiley +1 more source
When Data Sponsoring Meets Edge Caching: A Game-Theoretic Analysis [PDF]
Haitian Pang +3 more
openalex +1 more source
A parallel algorithm for generating Pareto‐optimal radiosurgery treatment plans
Abstract Background Using inverse planning tools to create radiosurgery treatment plans is an iterative process, where clinical trade‐offs are explored by changing the relative importance given to different objectives and rerunning the optimizer until a desirable plan is found.
Joakim da Silva +4 more
wiley +1 more source
Combination Network with Multiaccess Caching. [PDF]
Zheng B, Huang Y, Wu D.
europepmc +1 more source
Imposing Cache: Busy-Aware Cooperative Data Caching in Edge-Cloud Environments
G. Y. Lim, Jihun Kang, Heonchang Yu
openalex +1 more source

