A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

The human body relies on precise genetic instructions to function, and cancer begins when these instructions get scrambled.

Njoku, C. and Bonang, M. (2025) The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana. Open Journal of Business and Management, 13, 3875-3893. doi: ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

It's surprisingly hard to get AI models to watch and comment on actual video content, even if they are made for the task.

Harvard’s Berkman Klein Center for Internet & Society welcomes applications for its 2026 and 2026-2027 fellowships.

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

This paper investigates the macroeconomic implications of the rising wave of investment in information and communication technology (ICT)—including AI-related hardware and software—in the U.S. economy ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...