Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

At the present time one of the tasks of modern agricultural industry consists in obtaining the ecologically safe and clean products. Contamination of soils with heavy metals due to an anthropogenic ...

Abstract: Single photon avalanche diodes (SPAD) can be effectively quenched by using a large quench resistance connected in series. However, this method results in a longer recovery time. To address ...