Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Learn simple magic tricks using everyday objects you already have. These easy techniques are designed for beginners and focus on clear moves, natural handling, and strong visual effects that anyone ...

Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Threat actors with ties to the Democratic People's Republic of Korea (aka DPRK or North Korea) have been observed leveraging ClickFix-style lures to deliver a known malware called BeaverTail and ...

These highlights were written by the reporters and editors who worked on this story. During the outcry against nuclear power in the 1970s, liberal Oregon lawmakers hatched a plan to slow an industry ...

Abstract: This paper presents an approach to real-time detection of vacant seats in public seating areas using YOLOv10. In places where finding available seating can be slow and inefficient, this ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...