Every year, tens of thousands of people with signs of Parkinson's disease go unnoticed until the incurable neurodegenerative ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

The study investigates using 3D neural organoids made from human pluripotent stem cells (hPSCs) to assess neurotoxicity and neural function. Organoids were imaged to measure spontaneous calcium ...

More information: Yi Teng et al, Solving the fractional quantum Hall problem with self-attention neural network, Physical Review B (2025). DOI: 10.1103/PhysRevB.111.205117.

Delaware-based TheStage AI is changing this paradigm with their innovative approach to neural network optimization. The startup recently announced a $4.5 million funding round to commercialize ...

Based on our results, we recommend Graph Neural Networks for physics simulation workloads. The TF-GNN API has a steep initial learning curve for using its data layer, especially if there is no data ...

Cancer Cell Classification Based on Morphological Features of 3D Phase Contrast Microscopy Using Deep Neural Network Abstract: 3D phase contrast microscopy is one of the most common imaging modalities ...

Soft-actuated cuff electrodes (SACE) to communicate with nerves. Credit: Advanced Materials (2024). DOI: 10.1002/adma.202409942 ...

The first-of-its-kind three-dimensional convolutional neural network (3D-CNN) tool noninvasively analyses magnetic resonance imaging (MRI) scans from an individual patient to track brain changes ...