In this study, we consider the learning-tracking problem for stochastic systems through
unreliable communication channels. The channels suffer from both multiplicative and …

Single photons are an essential resource for realizing quantum technologies. Together with
compatible quantum memories granting control over when a photon arrives, they form a …

The management of system complexity is essential to ensure the successful delivery of a
system. However, as system complexity continues to grow, an accurate quantitative measure …

The last decades have been characterized by an unprecedented explosion of global data
consumption driven by an increasingly connected world and the emergence of new (BW) …

Simple Summary The domesticated yak is among the most important livestock species on
the Qinghai-Tibet Plateau. Breeders have the task of developing varieties that provide …

The demand for higher data rates is continuously rising as is the necessity for energy-
efficient systems. The high complexity of communication systems characterized by many …

Over the last decade, the academic and industrial communities have become increasingly
involved in the field of Deep Learning, leading these algorithms to become the drivers of the …

The ability to train randomly initialised deep neural networks is known to depend strongly on
the variance of the weight matrices and biases as well as the choice of nonlinear activation …

Telecommunication networks are complex systems with many different blocks. In order to tap
the full potential of high-speed networks, the properties and design trade-offs of these blocks …

We show that non-Abelian vortices can exist in magnetic materials. These are singularity-
free textures, are described by spin-lattice and field theory models, and we demonstrate that …