Pattern recognition is a multidisciplinary field that focuses on the automated identification, categorisation, and interpretation of patterns in data. Drawing on methods from computer vision, signal ...

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

Artificial intelligence has moved from checking homework to attacking problems that professional mathematicians once treated ...

Explore how AI-assisted vibe coding transforms audits, tax compliance, and professional drafting, boosting efficiency and accuracy for Chartered Accountants in the digital ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

With hype around automation and robotisation at fever pitch, many argue that we will soon see mass labour disappear altogether. Sociologist Antonio Casilli begs to differ. Work is not disappearing, he ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

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

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...