A neural field network can create a continuous 3D model from ... developed a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images that were ...

But what happens when a machine-learning algorithm ... works more like a black-box approach. However, depending on the structure of the algorithm, a UML model can actually be fully explainable.

Machine learning ... represent the broader group of individuals that might be encountered can teach the system unexpected and meaningless patterns, causing it to develop an approach that doesn’t work ...

The system first uses a deep learning model for feature extraction to transform the original image data into high-level represented features. Then, machine learning models are used to classify ...

Scientists have decoded visual images from a dog's brain ... They then used a machine-learning algorithm to analyze the patterns in the neural data. "We showed that we can monitor the activity ...

and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells. To solve this problem, a research team created an AI model that can identify gene ...