An editorial paper by scientists at the Beijing Institute of Technology, the Imperial College London, and the University of Augsburg introduced an emerging methodology named computational ...

Samuli Siltanen explains how solving an “inverse problem” will improve the quality of life of people who can’t speak and have to use voice synthesizers – particularly women and children, whose only ...

Ensemble Kalman Inversion (EKI) is a computational framework aimed at addressing inverse problems – the process of inferring unknown parameters or functions from observable data. In an inverse problem ...

In this paper we consider discrete inverse problems for which noise becomes negligible compared to data with increasing model norm. We introduce two novel definitions of regularization for ...

Inverse problems in differential equations constitute a pivotal area in applied mathematics and engineering, where the aim is to deduce unknown parameters or inputs within a differential equation from ...

Magnetic Resonance Imaging Magnetic Resonance Fingerprinting Computational Inverse Problems Mathematical Modeling Dr. McGivney's research interests are in mathematical modeling of biomedical ...

A May 2024 Reuters Institute and University of Oxford survey, which included more than 12,000 people from six countries, found that 21% of respondents on average have used ChatGPT professionally. This ...