Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

The breakthrough is based upon algorithms to determine what, if any, residual effect specific applications have on outdoor and indoor living and working spaces. We invest in your health and the ...

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Deep learning is a subset of ML employing artificial neural networks with multiple layers to iteratively learn features from raw input data. Deep learning can be defined as a subset of machine ...

It seems as if not a week goes by in which the artificial intelligence concepts of deep learning and neural networks make it into media headlines, either due to an exciting new use case or in an ...