Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Abstract: Time-frequency (TF) analysis is a useful tool for seismic data processing and interpretation. We introduce sparse Bayesian learning (SBL) to TF analysis and propose a new SBL-based ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Abstract: Sparse approximation is key to many signal processing, image processing, and machine learning applications. If multiple signals maintain some degree of dependency, for example, the support ...

Clinical trials for a new drug can take years to complete, and cost up to hundreds of millions of dollars. New draft guidance from the U.S. Food and Drug Administration aims to make that process ...

PyBADS is a Python implementation of the Bayesian Adaptive Direct Search (BADS) algorithm for solving difficult and mildly expensive optimization problems, originally implemented in MATLAB. BADS has ...

Summary: A new meta-analysis confirms that adults exaggerate vowel sounds when speaking to infants, a feature known as vowel hyperarticulation in infant-directed speech (IDS). By analyzing 55 studies ...

The typical participant is a PhD student in Statistics or related fields (Mathematical Statistics, Engineering Science, Quantitative Finance, Computer Science, ...). The participants are expected to ...

Wrapped in foil or tucked into plastic bags, bits of wood charcoal, carbonized corn and seeds that have sat in museum drawers for years are now getting re-examined by researchers seeking answers to a ...

The languages in the Indo-European family are spoken by almost half of the world’s population. This group includes a huge number of languages, ranging from English and Spanish to Russian, Kurdish and ...