The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

The 49ers visit the Eagles for an NFC Wild Card rematch. See how the latest injury news for Lane Johnson and Trent Williams ...

Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

The collaboration builds on the internal strengths of Bayer in antibody design, synthesis and machine learning, complementing ...

NYU Professor of Business Vasant Dhar is a pioneer in the field of artificial intelligence. He's the host of the "Brave New ...

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...