Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

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 ...
Microsoft

PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents

Long-term memory is essential for large language model (LLM) agents operating in complex environments, yet existing memory designs are either task-specific and non-transferable, or task-agnostic but ...
IEEE

Remaining Useful Lifetime Prediction Method of Power Modules Based on the Aging Characteristic Parameters

Abstract: Remaining useful lifetime (RUL) prediction of the power module is of great significance for performing thermal management and designing effective maintenance. Since the crack is the root ...
IEEE

A Bond Wire Aging Monitoring Method for IGBT Modules Based on Back Propagation Neural Networks

Abstract: A typical degradation mechanism of insulated gate bipolar transistor (IGBT) modules is the bond wire degradation (BWD), and thus the bond wire aging monitoring (AM) shows much attractiveness ...