Abstract: Vulnerability of various machine learning methods to adversarial examples has been recently explored in the literature. Power systems which use these vulnerable methods face a huge threat ...

Class imbalance in time series data occurs when some classes have far fewer training samples than others. Training a neural ...

Abstract: In this paper, a value-iteration-based off-policy Q-learning algorithm is developed. The proposed algorithm solves the optimal regulation problem of nonlinear systems with unknown dynamics.

Predictive maintenance tools based on artificial intelligence (AI) are already used in electricity grids around the world.

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Silicon photonics manufacturing depends on accurate positioning and alignment to support device performance, testing, and ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Google's new Category and Sale Duration structured data properties help merchants rank better information in the search ...

The Wall Street Journal offered a take that one might be inclined to describe as “OpenAI-friendly,” assuming one is able to ...

To better assess the danger posed by volcanoes, researchers at the Technical University of Munich (TUM) have developed a new ...

Sure, the iPod is old and has a kind of outdated user interface, but it's undeniable that it blazed a trail and many ...

Q4 2026 Earnings Call July 15, 2026 10:00 AM EDTCompany ParticipantsJared Mattingley - VP, Treasurer, Investor Relations ...