For the first time, an international team of scientists has experimentally simulated spontaneous symmetry breaking (SSB) at zero temperature using a superconducting quantum processor. This achievement ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

This paper presents a physically unclonable function (PUF) based on a ring oscillator (RO) collapse with an improved robustness against temperature variations. To effectively minimize the chances of ...

The activation function has a critical influence on whether a convolutional neural network in deep learning can converge or not; a proper activation function not only makes the convolutional neural ...

However, to continue progress and keep net zero by 2050 on track, emissions must fall by 7.5% annually until 2030 – more than twice the average annual rate to date.