AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

We’ve Seen This Before: How Agentic AI Can Avoid The Early Mistakes Of Human Access

Building AI agents without proper identity is like deploying web servers before HTTPS existed. It might work, but it won't scale safely.
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

Feistel-PUF: Sequential Obfuscation-Based Machine Learning Attack Resistant Physical Unclonable Function for IoT Device Security Authentication

Abstract: Device authentication protocols based on a strong physical unclonable function (PUF) show promise for enhancing Internet of Things security. However, a strong PUF is vulnerable to machine ...
GitHub

Face Authentication Desktop Application (PyQt5 + Deep Learning)

This project is a standalone desktop-based face authentication system built using Python, PyQt5, OpenCV, and Deep Learning (DeepFace/FaceNet). The application uses the computer’s local webcam to ...
HHS

Tokenization, Authentication, and the Future of Machine-Led Transactions

As transactions move from human clicks to autonomous decisions, the payment lifecycle must evolve to handle trust, intent, and identity in machine-led interactions. In this on-demand conversation, ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

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 ...
The New York Times

‘The Smashing Machine’ Review: Licking Wounds, In and Out of the Ring

Dwayne Johnson shines, but the movie around him tells the wrong story. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film through our site, we earn an affiliate ...
IEEE

A Machine Learning Attack Resilient Authentication Protocol for AI-Driven Consumer Wearable Health Monitoring

Abstract: The Internet of Medical Things (IoMT) is transforming healthcare by integrating interconnected consumer medical devices and sensors for remote patient health monitoring (RPHM). Integrating ...
GitHub

Weak authentication in Azure Machine Learning allows an...

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...