Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

How can we make our homes more energy-efficient and resilient to renewable energy fluctuations? A new study in Engineering ...

Neural networks are starting to see some of the earliest forms of development adoption and potential for expansion in applications across multiple segments of aviation for electronic systems both ...

Recently, Anhui Zhongji Star Electronic Technology Co., Ltd. submitted a patent application titled "Dynamic Control Method ...

In this report, the neural identification problem is outlined and the identifiability question for a general class of recurrent neural networks is addressed. As part of the intelligent flight control ...

A neural-network-driven computer system offers the potential to optimize sootblowing in coal plant boilers, reduce NOX emissions, improve heat rate and unit efficiency and reduce particulate ...

Qinghua Song, Dandan Wang, Neural Network Ship PID Control and Simulation Based on Grey Prediction, Journal of Coastal Research, SPECIAL ISSUE NO. 110. Recent Developments of Port, Marine, and Ocean ...

The union of blockchain's decentralized integrity and the adaptive intelligence of neural networks is a powerful place in democratic innovation.