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.

These SURF grants enabled young researchers interested in robotics to collaborate with esteemed faculty, build professional ...

Abstract: In the field of deep learning-based medical image segmentation, convolutional neural networks (CNNs) extract image features ... can affect the deep model’s capacity to perceive the overall ...

How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game?

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.

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

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 ...

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 ...

Repeat, repeat, and repeat. A neural network refers to the multi-layered algorithmic structure that underpins deep learning — and, more broadly, the whole boom in generative AI tools following ...