Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

U.S. citizens can opt out of the facial recognition process, which CBP intends to expand to all air, sea and land ports. Customs and Border Protection is now authorized to require biometrics from all ...

A string of recent robberies via smartphones highlights potential vulnerabilities with facial recognition, with criminals breaking into the victims' phones and emptying their bank accounts. To combat ...

A real-time face recognition system for automated attendance tracking using deep learning and FAISS vector search. This project implements an efficient face recognition pipeline with a user-friendly ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Aurora councilmembers moved forward Monday night with a measure that, if passed at a future regular City Council meeting, would allow Aurora police to use facial recognition technology to help them ...

The Aurora Police Department wants to add facial recognition software to its crime-fighting toolkit. The technology, already used in other Colorado cities, has long been controversial. Civil rights ...

Abstract: The Face Recognition Attendance System is an innovative solution developed to automate and make attendance tracking much easier in educational institutions and workplaces. The system ...

Electric buses are plugged in to charging stations in California’s Oakland Unified School District, the first major school district in the country to use 100 percent electric school buses. Credit: ...

Face-Attendance-System/ │-- dataset/ # Captured face images │-- trainer/ # Trained model files │-- Attendance.csv # Attendance log file │-- takeImage.py ...