AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

A Review of Uncertainty Representation and Quantification in Neural Networks

Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...
IEEE

Memristor-Based Feature Recall Neural Network Circuit With Temporal Differentiation of Emotion and its Application in Parts Inspection

Abstract: From the perspective of time, the generation of emotion has not only emotional generalization but also emotional differentiation. Most studies of emotional systems only consider the present ...
InfoWorld

Java use in AI development continues to grow – Azul report

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.