CLEVELAND — A pilot project in Ohio could change the way transportation officials detect potholes and other roadway hazards by using technology already built into certain vehicles. Automaker Honda ...

HOLLYWOOD, Fla. — A nearly half-million-dollar pothole patching machine purchased by the City of Hollywood is now sitting unused inside a public works facility after breaking down repeatedly and being ...

This project implements a state-of-the-art YOLOv12s-based pothole detection system with a sleek Streamlit web interface for real-time inspection of road conditions. Perfect for municipalities, road ...

JACKSONVILLE, Fla. — Potholes can make for a rough ride on Jacksonville roads. Only on Action News Jax, we found out a company using Artificial Intelligence to scan roads, wants to bring its ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Abstract: Road safety is a serious issue, and the early detection of road hazards like potholes and speed breakers are crucial in minimizing accidents and reducing vehicle damage. This paper presents ...

An autonomous system that detects road potholes in real-time using computer vision (YOLO v8) and ultrasonic sensors. When a pothole is detected, an automated filling mechanism is triggered to ...

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex metabolic disorder and one of the leading causes of chronic liver disease worldwide. Current diagnostic tools, such as ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...