The economist played a central role in the development of neural networks and, therefore, the modern AI revolution.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

We show how both models outperform baselines based on ngram-based language models (LMs), feedforward neural network LMs, and boosting classifiers. To deal with the high rate of singleton and ...

Researchers have developed a new hybrid earthquake early warning system called HEWFERS, which leverages advanced machine ...

CVPR 2025 unveils latest trends in AI, image and video synthesis, neural networks, and 3D computer vision June 23, 2025 by ...

The course teaches students about neural networks, machine learning, and real-world applications like self-driving cars and GPS By: Layan Abu Tarboush Posted 7:12 AM, Jun 19, 2025 ...

This study presents a machine learning method for monitoring laser temperatures using spectral data, offering a non-invasive alternative to traditional sensors.

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

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Keeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) for the ...

Generally, accurate hydrological forecasting information plays an increasingly important role in promoting the comprehensive benefit of hydropower reservoirs. With satisfying generalization ability ...