Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being averaged out or masked by traditional processing techniques. Most segmentation ...

Ready to analyze Google's search algorithms and learn all the secrets of ranking? Here's what you will need to do it correctly. That (rough) question helped to determine the path of my career 10+ ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

A new method uses artificial intelligence to analyze animal behavior, which could lead to longer-term in-depth studies in the field of behavioral science. In addition, the advance helps to improve ...

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Twitter is starting a new initiative, Responsible Machine Learning, to assess any “unintentional harms” caused by its algorithms. A team of engineers, researchers, and data scientists across the ...

Sentiment analysis, also referred to as opinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. This is a popular way for ...