Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

Central Connecticut State University announced Thursday it has recently launched a Master of Science in Artificial Intelligence graduate program designed to prepare ...

If there's one thing that characterizes driving in any major city, it's the constant stop-and-go as traffic lights change and ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

"Ouster BlueCity is a prime example of how we are working to solve important rel-world problems with physical AI," said ...

The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

Researchers have combined artificial intelligence and EEG brain activity data to better understand the Other-Race Effect (ORE), where people recognize faces of their own race more accurately than ...

If there's one thing that characterizes driving in any major city, it's the constant stop-and-go as traffic lights change and ...

In an age overwhelmed by data, how do we ensure that AI doesn't just recognize patterns but also understands the deeper relationships that drive those patterns?

As a core component of the cryptocurrency ecosystem of the second largest cryptocurrency exchange in the U.S., OnchainVip has ...

Graph-based anomaly detection transforms how network operators uncover threats and service issues by providing a deeper, relationship-driven understanding of all network activity traversing the ...