Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of ...

Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of precisely replicating the brain's complex multilayered structure and the lack of ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

Discover the use of 3D neural organoids derived from human pluripotent stem cells to evaluate neurotoxicity and neural function.

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 ...

We propose a cancer cell classification methodology based on morphological features of 3D phase contrast microscopy and deep neural network with scaled principal component analysis.

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 ...