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 ...

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 ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

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 ...

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 ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

Emotion-Detection/ ─ test.py # Main script for webcam emotion detection ─ emotion_model.h5 # Pre-trained Mini-XCEPTION model ─ haarcascade_frontalface_default.xml # Face detection Haar cascade ─ ...