From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

The growing demand for smaller, lighter, and more embedded hardware has made Physical Unclonable Functions (PUFs) a promising solution for authentication in Int ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

This Selected Issues paper focuses on Cambodia’s satellite data for nowcasting. Cambodia faces limited institutional capacity in the production and timely release of quality official statistics, ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...