This project is an AI-based system designed to detect potholes and road surface defects using a deep learning model and geo-tag their locations using GPS data. A trained YOLOv8 object detection model ...

Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the Android smartphone landscape through features and opinion pieces. He joined Android Police in 2023, ...

RoadScanner is an embedded system based on Arduino Giga R1 WiFi for real-time monitoring of road sensors (L1 to L8, R1 to R8). It uses BLE to communicate with Nano 33 BLE Sense sensors, GNSS for ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Antwerp Engineering, Photoelectrochemistry and Sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp 2020, Belgium ...

CINCINNATI (WXIX) - An entrepreneur received a grant Wednesday to implement an innovative solution to pothole detection and repair in Cincinnati. Flywheel Social Enterprise Hub alongside the City of ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

Objective: This study explores the feasibility of using breathomic biomarkers analyzed by machine learning as a non-invasive diagnostic tool to differentiate between benign and malignant thoracic ...

What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...