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 ...

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 ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Oluwaseun Ajayi is a globally trained real estate economist and climate-risk scholar recognised for advancing how ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...