Frontiers

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

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 ...
ascopubs.org

Hybrid ReGex and Natural Language Inference Model as a Zero-Shot Classifier for Extracting Data From Medical Reports

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...
The Hill

Anthropic offering AI model to all three government branches for $1

Anthropic announced Tuesday it will offer its artificial intelligence (AI) model Claude to all three branches of the federal government for $1, following a similar move by OpenAI last week. Federal ...
Searchenginejournal.com

Google’s June 2025 Update Analysis: What Just Happened?

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...
Psychology Today

AI Predicts Active Brain Cell Types With High Accuracy

A major neuroscience breakthrough has been achieved with the help of an artificial intelligence (AI) deep learning algorithm. In a study published this month in Cell, a multinational team of ...
IEEE

Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine

Abstract: In this paper, the well known stagewise additive modeling using a multiclass exponential (SAMME) boosting algorithm is extended to address problems where there exists a natural order in the ...