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 ...

In this talk, I will discuss some of my recent and surprising findings on the use of hashing algorithms for large-scale estimations. Locality Sensitive Hashing (LSH) is a hugely popular algorithm for ...

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 ...

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.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Over five billion people worldwide actively engage with AI, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Bioinformaticians have been utilizing machine learning for years. However, the introduction of powerful and easily accessible generative AI tools is a new horizon. Learning how to use these tools to ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...