A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

A study from Cornell researchers could enable a quantum leap forward in identifying and deciphering cancer-driving genetic ...

A new NASA-supported study shows how an AI tool can predict chemical compositions from photos with high accuracy.

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have created a deep learning ... finding bubble-like structures that had not ...

Understanding the effect of hyperparameters of the network structure on the performance of Convolutional Neural Networks (CNNs) remains the most fundamental and urgent issue in deep learning, and we ...

For much of the past decade, President Donald Trump and his allies have been waging a war against the so-called "deep state"—and ... of U.S.D.S.'s structure and operations," Judge Colleen ...

Therefore, this review focuses on the application of two kinds of architectures in direct training deep SNNs: transformer structures ... neural networks Software frameworks play a crucial role in ...

Listen to Story LLVPs beneath Pacific and Africa differ in composition African LLVP is older and more diffuse than Pacific Findings may impact understanding of Earth's magnetic field Earth is divided ...