FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...

Irene Okpanachi is a Features writer covering Android devices, laptops, portable projectors, VR headsets, software, and AI recorders for Android Police and Talk Android. She has five years' experience ...

I tried McDonald's new Big Arch burger—here are my unfiltered thoughts More companies are considering "peanut butter" raises The top photos of the week by Associated Press photojournalists One type of ...

How a strong Portrait of a Graduate can set the foundation for prioritizing student-centered learning district-wide. A Portrait of a Graduate or learner profile is more than a statement of beliefs. It ...

Abstract: The research paper describes a software-based medical risk analysis system which predicts heart disease and diabetes by analyzing patient health information collected without sensors or ...

When Indian River County set our bold Moonshot Goal — 90% of students reading on grade level by the end of third grade — we knew it would take more than business as usual for us to have a chance. We ...

Cybersecurity researchers have discovered a malicious npm package named "@acitons/artifact" that typosquats the legitimate "@actions/artifact" package with the intent to target GitHub-owned ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...