Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...

Model ML Inc., a provider of artificial intelligence software for investment professionals, has raised $75 million in funding to support its growth efforts. The startup disclosed today that investment ...

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel method integrating active learning with RF, GB, XGB, KNN, LR, and ...

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...

Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials ...

Background: Childhood obesity is a growing problem worldwide, leading to non-alcoholic fatty liver disease (NAFLD), which is the most common liver disease in children. Liver biopsy is the gold ...

ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...

Bottom line: More and more AI companies say their models can reason. Two recent studies say otherwise. When asked to show their logic, most models flub the task – proving they're not reasoning so much ...

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...