On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: Present work proposes a predictive localization outcome when compared to Swarm Artificial Neural Network (SANN), Spatio-Temporal Neural Genetic Algorithm (STNGA) and Linear Ridge Radial ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Abstract: Ensuring predefined-time convergence, strong robustness, and global adaptability is of great significance for improving the control performance and operation reliability of tiltrotor ...

Learn how Network Time Protocol (NTP) works, why accurate time matters, how NTP calculates clock offset and network delay ...

A list of recent papers about adversarial learning - Trustworthy-AI-Group/Adversarial_Examples_Papers ...