Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Communities rely on critical infrastructures that connect and power our urban systems. Due to the dramatic changes in the world climate scenarios, these systems are subject to harsh loads and severe ...

Attendance restricted to Princeton University faculty, staff and students. Algorithms make predictions about people constantly. The spread of such prediction systems has raised concerns that machine ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Click here to join the seminar. Our research group is currently trying to shed light on what we think is one of the most pressing dangers presaged by the increasing power and reach of AI technologies.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Long before we possessed computers, human beings strove to find patterns in data. Ptolemy fitted observations of the motions of the stars to a geocentric model of the cosmos, with complex epicycles to ...