A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...

United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

For every motor skill you've ever learned, whether it's walking or watchmaking, there is a small ensemble of neurons in your ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...