Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

AI is helping farmers automate weed control and create custom tools as they navigate industry challenges and sustainability ...

Artificial intelligence is transforming meteorological prediction through innovative approaches to tropical cyclone tracking ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.

As June comes to a close, edie and our innovation partner Springwise highlight six of this month’s exciting innovation ...

Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather ...

IIT Delhi researchers have demonstrated AI's potential in revolutionizing weather forecasting. One study predicts monsoon ...

To understand deep learning, it’s important to have a basic understanding of machine learning and neural networks. Machine learning is a type of artificial intelligence that involves training ...

Modern AI, especially models that use machine learning and neural networks, is based on pattern recognition. They take large data-sets and find patterns, gathering and optimizing statistical ...