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

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

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You ...

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

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

Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land. While most of these fires are started by people, many fires start because of ...

Fusion energy has long promised the world a clean, nearly limitless source of power. But despite the excitement, real-world ...

“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 ...

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 well ...

Modern retrocomputing tricks often push old hardware and systems further than any of the back-in-the-day developers could have ever dreamed. How about a neural network on an original Mac?