An AI-enabled robot can carry on such processes by autonomously handling delivery, restocking and routing within set ...

Many of today’s AI models are all about scale. They gobble up energy and demand constant increases in compute power to stay at the cutting edge. This isn’t the case with physical AI, which requires ...

A new study shows that the physics principle of 'nucleation' can perform complex calculations that rival a simple neural network. The work may suggest avenues for new ways to think about computation ...

Imagine you’re shopping for a new car, and the salesperson says, “Did you know, this car doesn’t just drive on the road.” “Oh?” you reply. “Yeah, you can also use it to do other things. For instance, ...

One of things I have learned is that you cannot understand everything associated with designing and making of semiconductors. The physics associated with the manufacturing process, while highly ...

What we choose to study—whether fine art or finance—is one of the most influential decisions in our lives. It shapes not only career trajectories, but also income, fertility, and well-being. As access ...

THE support given by Profs. Hill and Grünbaum in their interesting communication is very encouraging. The problem before us—before these two authors as well as before myself—is the clarification of ...

What constraints govern the physical process of computing? Is a minimum amount of energy required, for example, per logic step? There seems to be no minimum, but some other questions are open Editor's ...

Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge. This breakthrough ...

From Quanta Magazine (find original story here). Imagine you’re shopping for a new car, and the salesperson says, “Did you know, this car doesn’t just drive on the road.” “Oh?” you reply. If you're ...