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.

Can AI fashion design outperform human designers? Dive into how technology in fashion is transforming creativity, production ...

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

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

New agentic tools, medication management advances, medical device guidance and the "great tech reckoning" were among just ...

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: Autonomous AI agents will handle complex tasks, freeing humans for creativity, strategy, and oversight ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...