Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

Muscimol, a GABA-A (GABAA) receptor agonist, enhances GABA's inhibitory effect on neuronal activity by activating GABAA ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

A new study published in Physical Review Letters has introduced a new form of the classic Ising model that, by incorporating ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based quantum-assisted unsupervised data clustering ...

At their most basic level, tensors are a data roadmap, but one that is multi-dimensional - this ability to define, store and ...

Philips wants to create a foundation model for MRI to address challenges that are specific to the imaging technique.

it is feasible to apply convolutional neural networks to automatically extract the 3D models' features. This paper presents a novel approach, called 2DSlicesNet, which deals with the issue of 3D model ...

These videos were analyzed by a neural network, which was trained to track the movements of the individual animals. By mapping these movements into 3D models of the animal’s joints, the researchers ...

In this paper, we propose an end-to-end hybrid classical-quantum convolutional neural network (CQ-CNN ... a framework to make 3D MRI data usable for machine learning, designing and training a brain ...

Abstract: Neural network (NN) technology is revolutionizing the modeling paradigm in the engineering arena, simultaneously enhancing model precision and process speed. Nevertheless, a large amount of ...