Traditional safety protocols weren’t designed for self-improving systems, which raises important questions about validation, ...

Researchers from AMOLF's Soft Robotic Matter group have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected these simple robots in a ...

Industrial robot adoption has reached a point of no return. Automated machinery has become an industry standard and will only become increasingly common as time goes on. As this trend continues, ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...

Members can download this article in PDF format. As robotics matures from simple process automation to more advanced AI-driven systems, engineers are faced with making critical design choices for a ...

DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...

Gripping and manipulating items of diverse shapes and sizes has long been one of the biggest challenges facing industrial robotics. The difficulty is perhaps best summed up by the Polanyi Paradox, ...

Robotic systems are transforming industries worldwide, from manufacturing plants to healthcare facilities. However, the journey from concept to deployment is often fraught with design and ...

A robotics company likely most famous for a demo of its dexterous robot hand at Amazon re:MARS with Jeff Bezos has now unveiled a new robust model designed for machine learning research, which was ...