Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

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

A new AI Drug Discovery tool called PDGrapher can predict more accurate drug combinations up to 25 times faster than previous ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

For banks, asset managers, fintechs, and regulators alike, the message is clear: in a chaotic world order, the future will ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...

Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land.