A research team has developed a novel deep learning framework that integrates 3D radiative transfer modeling (RTM) with a knowledge-guided convolutional neural network (KGCNN) to accurately and ...

Professor Yong-Hoon Kim, who supervised the research, explained that his team had found a way to map quantum mechanical chemical bonding information in a 3D space onto artificial neural networks.

Study: 3D bioprinting of human neural tissues with functional connectivity. Image Credit: whitehoune/Shutterstock.com Background Understanding neural networks in the human brain is critical for ...

Achieving a pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is associated with improved patient outcomes in triple-negative breast cancer (TNBC). Currently, there are no ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works. In this article, you’ll learn the basics ...

You can 3D-print nearly anything: rockets, mouse ovaries, and for some reason, lamps made of orange peels. Now, scientists at Monash University in Melbourne, Australia, have printed living neural ...

The method combines a convolutional neural network with bidirectional long short-term memory, attention mechanism, and natural gradient boosting. March 20, 2025 Lior Kahana Commercial & Industrial PV ...

A fully fused network essentially means everything related to CNNs--or Convolutional Neural Networks or the series of calculations and processes that go into upscaling an image without harming ...