multi-access edge computing
PulseAugur coverage of multi-access edge computing — every cluster mentioning multi-access edge computing across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New Multi-Agent Transformer optimizes XR traffic scheduling in TSN networks
Researchers have developed a novel Multi-Agent Transformer (MAT) approach to optimize traffic scheduling for extended reality (XR) applications within Time-Sensitive Networking (TSN) and Mobile Edge Computing (MEC) envi…
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New MARL framework slashes XR traffic delays in edge computing
Researchers have developed a new multi-agent reinforcement learning (MARL) framework to improve traffic scheduling in time-sensitive networking (TSN) environments, particularly for applications like extended reality (XR…
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New RL Algorithm Optimizes Edge Computing with BD-RIS
Researchers have developed a new distributional reinforcement learning algorithm called DSAC-T to optimize energy and resource allocation in heterogeneous mobile edge computing (MEC) systems assisted by active beyond-di…
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AI-UAVs enhance zero-energy IoT localization and sensing
This comprehensive survey explores the integration of AI with unmanned aerial vehicles (UAVs) to enhance backscatter localization and integrated sensing and communication (ISAC) for zero-energy IoT devices. The paper ou…
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ViajeInteligencia.com launches AI-powered travel intelligence tools
ViajeInteligencia.com has launched new tools, including an intelligent route planner and integrated MAEC alerts. The platform aims to transform scattered information into actionable intelligence for travelers. This inde…