AI Agents & Agentic AI in Telecom – the Next Frontier for Global Operators
Introduction The global telecom industry today is facing dual challenges of surviving and thriving. From both the operators’ and users’...
Category: AIML
Machine Learning – Supervised, Unsupervised and Reinforcement
Machine Learning is a technology that enables computers to learn from given data and make predictions or decisions without being...
What is RAG and How It Is Transforming Telecom Operations?
Large Language Models (LLMs) like GPT, Claude, and LLaMA are transforming the AI landscape, but they are trained on static...
Machine Learning – Principal Component Analysis
Machine Learning – Principal Component Analysis As a machine learning Engineer, we need to work with multifeatured or multi dimensions...
Memory Management in GPU
GPUs have become essential for compute-intensive applications like deep learning, data analytics, and scientific computing. With their highly parallel architecture,...
Confusion Matrix – Machine Learning
Confusion Matrix The confusion matrix is one of the best ways to evaluate the performance of a classification model in...
Approaches of Applying Deep Learning in Physical Layer
INTRODUCTION Modern communication systems have performance requirements such as large data volumes, high transmission rates, and fast response speeds, which...
Machine Learning | Choose Right Machine Learning Algorithm?
Machine Learning is a technology that enables computers to learn from given data and make predictions or decisions without being...