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 ...

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 ...

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 ...

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

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 ...

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.

Google wants to hire more people with skills in computer science, data science and machine learning, and the company is turning to higher education for help fill the pipeline. A pilot program for ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...