Getting complex machines to perform simple tasks was the object of the Rube Goldberg Machines display April 21 at Zachary High School. Seniors partnered up to design complex machines that ranged from ...

A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from predator-prey relationships to traffic patterns in cities to how populations grow and ...

In an era of unprecedented technological advancements, the fusion of quantum AI and cognitive robotics emerges as a groundbreaking development. As someone deeply involved in AI, robotics and ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications. A paper ...

(a) This diagram depicts fully connected neurons or spins, where each element interacts with every other. (b) Although each spin can only take one of two values, the activation function used to update ...

Are You Prepared to Leverage the Full Potential of Non-Human Identities in Complex Networks? Organizations are increasingly reliant on complex networks, with machine identities playing a critical role ...

The unique characteristics of lasers, such as their focusability and ability to work on a variety of materials, make them well suited for precision manufacturing. And they can be used with a wide ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...