WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

Abstract: In view of the small difference between citrus leaf diseases which can lead to false inspection and missed inspection, an improved YOLOv8 citrus leaf disease detection algorithm is proposed.

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

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

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