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 ...
IEEE

Solving Multi-objective Optimization Problems Via Selective Inheritance Meta-Reinforcement Learning

Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...
IEEE

An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms

Abstract: For a multi-objective optimization problem, an inverse model approximates a mapping from the objective space to the decision space. Recently, the inverse model has been used in some ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
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.