DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
IEEE

Multiple-Model Tracking of Dynamic Formations Using Group Structure Maneuver Models With Subobject Splitting and Merging

Abstract: Tracking the complex shapes of group targets, which provide essential information for situational awareness, is a critical task in group target observation. Traditional tracking methods ...
IEEE

Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL

Abstract: This paper focuses on minimizing the total energy consumption of a long-term delay-sensitive multi-cell mobile edge computing (MEC) system that serves continuously arriving mobile devices ...
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New memory structure helps AI models think longer and faster without using more power

Researchers from the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), letting large language models reason deeper while compressing the KV cache up to 8× without ...