When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

New research was motivated by "high-potential societal impacts" of successfully disabling autonomous drones, a study author told Military.com.

Abstract: The high heterogeneity of Internet of Things (IoT) devices causes severe imbalance in network traffic data, and the cost of collecting and labeling sufficient intrusion samples is high or ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Section 1. Background. The Protecting Americans from Foreign Adversary Controlled Applications Act (the “Act”) (Public Law 118-50, Div. H) regulates “foreign adversary controlled applications,” ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists have developed algorithms ...