Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

Do you think you know which species are most vulnerable in an ecosystem? A novel analytical method developed by Italian ...

AI is driving the paradigm shift that is the software industry’s transition to data-centric programming from writing logical statements. Data is now oxygen. The more training data a company ...

When using a PyTorch neural network, categorical predictor data must be encoded into a numeric form, and numeric predictor data should be normalized. For multi-class classification, the dependent ...

Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of binary classification using a PyTorch neural network, ...

By looking at enough examples, these systems can eventually learn how to identify unlabeled objects or scenarios they have never encountered before. These labeled examples that help the system learn ...

Signals can be extracted automatically using available frameworks and tools, or via alternate messages, which can then be used to perform modulation classification with a deep-learning network ...