In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

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

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

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

In 1835, Charles Darwin gazed at coral reefs in the Pacific Ocean, and these intricate marine structures sparked his thoughts on the evolution of life. Nearly two centuries later, Darwin's inquiry abo ...

“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 ...

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

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 ...