Perhaps you prefer to listen to an audio summary or create a mind map of the key elements of your notes. NotebookLM can ...

Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used for ...

Can readily available laboratory data train and test the performance of a machine learning (ML)–based risk models for abnormal lymphocytosis associated with chronic lymphocytic leukemia (CLL)?

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Here & Now's Chris Bentley and Peter O'Dowd spent a week reporting on the Mississippi River.

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies sustainable material alternatives—accelerating the search for greener energy ...

Gold nanoparticles (GNPs), which appear red, are widely used as labels in lateral flow assays (LFAs) for visual detection. However, in blood-derived samples, hemolysis─caused by the rupture of red ...