Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.

Artificial Intelligence (AI) has made substantial strides in recent years, with one of its most fascinating manifestations being AI humanoid ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

By combining soft materials, cloud-scale simulation, and learning from human motion, researchers are teaching robots to grasp ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

AI robot on the ISS navigates 50–60% faster using machine learning, marking a major step toward autonomous space missions.

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Some people think they can pull a fast one by “returning” something they’ve bought, but replacing the original with a knockoff and keeping the real deal. UPS’s return centers are using machine ...

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

AI-driven cyberattack agents integrate automation, machine learning, adaptive malware, and botnet infrastructures into ...