AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.