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.

Philips has collaborated with NVIDIA to leverage advanced AI technology for magnetic resonance imaging (MRI). Through this ...

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 ...

CMOS transistors on the circuit performance is evaluated using a neural compact model. The model was trained using 3D technology computer-aided design (TCAD) device simulation data of GAA field-effect ...

Additionally, the research team localized the ChebNet graph neural network for precipitation ... unconstrained deep learning models, such as U-NET and 3D-CNN. Furthermore, ensemble forecasting ...

This breakthrough, detailed in their research paper LRM: Large Reconstruction Model ... neural network architecture with over 500 million parameters. It is trained on around 1 million 3D objects ...