With how common machine learning has become today ... location, and much more. A machine learning algorithm would be able to form relationships between these variables. It can help marketers ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Over the past few decades, robots have gradually started making their way into various real-world settings, including some ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

MIT researchers have developed a new machine-learning-based adaptive control algorithm for autonomous drones. The ...

Parkinson's disease is a progressive and common neurodegenerative condition, typically characterized by involuntary shaking, ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.