Long-Term Outcomes in a Multicenter, Prospective Cohort Evaluating the Prognostic 31-Gene Expression Profile for Cutaneous Melanoma A developing data set and a test data set were generated from ...

Government agencies are on the hunt for vendors and best practices that can help them make use of artificially generated data — also known as synthetic data generation – that can be used to build or ...

To automatically generate data for training deep convolutional neural network models to segment building facades, researchers used a three-dimensional model and game engine to generate digital city ...

The Department of Homeland Security and Chief Data Officers Council put out calls recently for products and insight on synthetic data generation. Government agencies are on the hunt for vendors and ...

AI is the backbone of technologies such as Alexa and Siri-- digital assistants that rely on deep machine learning to do their thing. But for the makers of these products -- and others that rely on AI ...

Researchers from Osaka University find that images of city digital twins, created using 3D models and game engines, can be combined with images of the real city to easily create deep-learning model ...

Machine learning is an increasingly important tool for developers, providing a way to build applications that can deliver a wide range of prediction-based tasks. In the past you might have had to ...

1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data ...