Discover the meaning of continuous operations, their advantages, disadvantages, and real-life applications to maintain ...

The cybersecurity landscape in 2026 will be dominated by AI-embedded risks, autonomous attacks, and supply chain ...

Quantum state diffusion framework makes it possible to characterize quantum measurement in terms of entropy production ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Unimodular waveform design plays a crucial role in MIMO radar systems. Previous studies have mainly focused on continuous- and discrete-phase coding for single-pulse MIMO radar waveforms, as ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

The original version of this story appeared in Quanta Magazine. Calculus is a powerful mathematical tool. But for hundreds of years after its invention in the 17th century, it stood on a shaky ...

Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing research has been constrained by overly ...