A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning ...

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers have now developed a 3D-printed 'brain-like environment' ...

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed.

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers of the Delft University of Technology in The Netherlands ...

This study uses all-optical electrophysiology methods to provide a valuable insight into the organization of cortical networks and their ability to balance the activity of groups of neurons with ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Smooth Exact Gradient Descent Learning in Spiking Neural Networks. Physical Review Letters , 2025; 134 (2) DOI: 10.1103/PhysRevLett.134.027301 Cite This Page : ...

There's intriguing advancements ahead in the future for PC gaming. In a recent blog post, Microsoft explained how the company is partnering with NVIDIA to support the latter's neural rendering ...

To address this challenge, we developed a reconstruction algorithm (Model-CNN) that integrates a diffusion equation model with a convolutional neural network (CNN). The CNN learns a regularization ...

Abstract: This work addresses two innovative and challenging aspects in the pursuit of an accurate localization process, which can be achieved through a complex and nonlinear approach such as neural ...

Many of today's technologies, from digital assistants like Siri and ChatGPT to medical imaging and self-driving cars, are powered by machine learning. However, the neural networks—computer ...