In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...