We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...
Tech Xplore

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
National Mortgage Professional

The Algorithmic Servicer

Artificial intelligence is no longer an emerging technology in mortgage servicing. For many servicers, it has already become ...
lupus.bmj

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...
Europe PMC

A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features.

This study examines whether the socio-demographic factors and cognitive sign features can be used for envisaging safety signs comprehensibility using predictive machine learning (ML) techniques. This ...
IEEE

Implementation of Music genre classification using Support Vector Clustering algorithm and KNN Classifier for improving accuracy

Abstract: To enhance the Music genre classification using novel Support Vector clustering Algorithm and K-Nearest Neighbors Classifier with improved accuracy.Two groups such as novel Support Vector ...
Frontiers

Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm

In vitro fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceive a baby successfully. Nevertheless, IVF-ET does not guarantee success. Frozen embryo ...
Frontiers

Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture Surgeries: A Retrospective Case-Control Study

Background: Elderly patients undergoing hip fracture repair surgery are at increased risk of delirium due to aging, comorbidities, and frailty. But current methods for identifying the high risk of ...
C&EN

Coal Classification Method Based on Improved Local Receptive Field-Based Extreme Learning Machine Algorithm and Visible–Infrared Spectroscopy

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern ...
The Lancet

A machine learning approach for retinal images analysis as an objective screening method for children with autism spectrum disorder

aCentre for Clinical Research and Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR ...