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.

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

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

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

The uptake of artificial intelligence (AI), computer vision and machine learning has been high in some industries, such as retail (see AiFi and Standard AI) and automotive (see Waymo and Tesla), but ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Overview: AI-powered cloud security tools use machine learning and automation to detect threats faster than traditional ...

The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the top machine learning platforms that help organ ...

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

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...