(Phys.org) —Back in the early 2000s, Ed Feng was a Ph.D. student at Stanford studying chemical engineering. At the time, he never thought that his research on the dynamics of liquids using statistical ...
A new study, affiliated with UNIST has recently presented a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way. This algorithm has ...
In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...
The expectation-maximization (EM) algorithm is a cornerstone technique for parameter estimation in statistical models that incorporate latent variables or incomplete data. By iteratively alternating ...
Data analysis and machine learning are finding applications in many fields of fundamental sciences, and theoretical physics is no exception. My group at the Institut de Physique Théorique (IPhT) ...
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