Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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 ...

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.

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Overview: AI books give simple stories and examples that help leaders understand fast changes in work and society.The reading list explains how teams, jobs, and ...

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

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

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

The unique properties of high-entropy alloys make them ideal for hydrogen storage, offering advantages in stability and ...

Rock-paper-scissors is usually a game of psychology, reverse psychology, reverse-reverse psychology, and chance. But what if ...