Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...

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

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.

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

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

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

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

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 ...

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.