As deepfakes blur the line between truth and fiction, we’ll need a new class of forensic experts to determine what’s real, ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition computationally. Large language models (LLMs), such as ChatGPT, now support the ...

Addiction is one of the most intensely studied conditions in modern medicine, yet even with high‑resolution brain scans and genetic tools, scientists still cannot fully explain why some people get ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

You’ll have two different options to complete your Master of Science in Data Science, each designed to give you the flexibility to match your career goals. Course-focused: Take classes such as ...