Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

Artificial intelligence is moving from the lab into the clinic, and one of its most provocative promises is that it might ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...

Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

1 School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania 2 Faculty of Science and Technology, Mzumbe ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...