Breaking the 100M Token Limit: EverMind's MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
DATAQUEST

Synopsys outlines vision for engineering the future!

New design, verification and simulation solutions to re-engineer AI-powered product innovation at Synopsys Converge 2026.
IEEE

A Hybrid Optimization Framework for Dynamic Multi-Objective Problems Using NSGA-II and Deep Reinforcement Learning

Abstract: Dynamic multi-objective optimization problems (DMOPPs) are prevalent in complex engineering and management systems, where decision-makers must balance conflicting objectives under ...
IEEE

Service Migration Strategies Based on Partially Observable and Multi-Objective Optimization

Abstract: Multi-access Edge Computing (MEC) extends cloud computing to the network edge, supporting resource-intensive mobile applications. Service migration ensures seamless continuity and ...