Abstract: Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud ...

Python remains a top-3 global language, driven by demand for AI, data analytics, and automation across industries like fintech and healthcare. High-growth roles include data science, AI engineering, ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...

DEF CON While AI was on everyone's lips in Las Vegas this week at the trio of security conferences in Sin City – BSides, Black Hat, AND DEF CON – there were a lot of people using the F-word too: fraud ...

NVIDIA has patched a trio of vulnerabilities in its Triton Inference Server that, when chained together, give unauthenticated remote attackers a way to take full control of the server and run ...

The share of mortgage loans with issues that could indicate fraud declined in the second quarter of 2025, although it is still above levels seen in the second half of last year, Fundingshield's Wire ...

Abstract: This is a real-time face recognition and monitoring system that can be used in applications such as online exam proctoring and security. It uses the face recognition and OpenCV libraries of ...

As a Python developer, your choice of database can greatly influence your project’s success. Selecting the right database is crucial for optimizing your application’s data handling capabilities, ...