Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Charles H. Bennett and Gilles Brassard, winners of this year’s Turing Award, spent their lives touting the advantages of the ...

The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of ...

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

Grasping and transporting objects is one of the most critical tasks for robots in a variety of fields. This task requires ...