Researchers have created a quantum computer that stores information in microscopic vibrations, potentially making quantum machines smaller, more powerful, and better at preserving information. The breakthrough successfully demonstrated advanced quantum calculations and could help overcome major barriers to practical quantum computing.

A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.

If "to err is human," you could say robots are superhuman. They're more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the past and act on them in real time, even with vision-language models (VLMs), which interpret visual inputs such as videos and images along with natural language.