InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...
Frontiers

Generalised Machine Learning Models Outperform Personalised Models For Cognitive Load Classification In Real-Life Settings

The final, formatted version of the article will be published soon. By issuing work-break reminders, for example, personal assistants for cognitive load could be beneficial in maintaining health and ...
IEEE

A Fast and Generalizable ML-Assisted Framework for Full-Wave Inverse Scattering

Abstract: This article proposes a novel machine learning (ML)-assisted framework for solving full-wave inverse scattering problems (ISPs) in inhomogeneous, high-contrast media. Traditional ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
IEEE

Source-Load Coordinated Optimization Framework for Distributed Energy Systems Using Quasi-Potential Game Method

Abstract: Addressing carbon reduction in the energy sector is crucial in the global fight against climate change. In response to this, a source-load coordinated optimization framework is proposed for ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...