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.

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 ...

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

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.

In today’s rapidly changing environment, it is more important to learn how to think critically than to master the technical ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Humanoid robots have come on leaps and bounds in recent times, and much is expected of the advanced machines in the coming ...