Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Analysis of one billion CISA KEV remediation records exposes limits of human-scale security

Analysis of 1 billion CISA KEV remediation records reveal a breaking point for human-scale security. Qualys shows most ...
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 ...

What leaked “SteamGPT” files could mean for the PC gaming platform’s use of AI

These days, it seems like every tech company and their corporate parent is looking to squeeze AI tools and features into ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

The File System’s Role In Governing Agentic AI Context

Model Context Protocol (MCP) is an open standard allowing AI agents to securely connect to external tools and data sources ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
IEEE

Development of a Predictive Wear Model Based on Test Data Using Machine Learning Algorithms

Abstract: This study explores the application of machine learning algorithms to predict abrasive wear based on the chemical composition and hardness of materials, validated through tests using ASTM ...
IEEE

Research on Intelligent Sensing Machine Learning Prediction Model of Material Interface Properties

Abstract: This paper designs an intelligent prediction model using machine learning technology. By collecting data and extracting features of various parameters of material interface properties (such ...