AI chatbots are great at fitness and nutrition planning. They create workout routines adapted to your goals, schedule, and physical limitations, such as past injuries. When you specify available ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

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.

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

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

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

A new children’s book, titled Simple Machines Made Simple, wants to demystify mechanical engineering for kids as young as a year old. It recently beat its Kickstarter goal by 700%—raising more than ...

Machine vision is a collection of technologies that give automated equipment a high-level understanding of the immediate environment from images. Without machine vision software, digital images would ...

When you push or pull with a simple machine, you are applying a force and doing work. And, if you get more force out of a machine than you put into it, then that machine has a mechanical advantage.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...