Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Thinking about getting into crypto mining? It’s a bit like picking out a new computer, but way more specialized. You’ve got different kinds of machines, each good for something specific. Picking the ...

Abstract: The accuracy and reliability of the Q/V sensitivity for voltage security assessment is influenced by the outliers present in the calculation results. An unsupervised machine learning ...

Abstract: Contrastive learning is one of the fundamental paradigms for unsupervised 3-D skeleton-based action recognition. Existing contrastive learning paradigms typically enhance model ...

Customer Segmentation Using Customers Dataset This project groups mall customers based on their age, income, and spending behavior to uncover distinct shopper personas. Using unsupervised machine ...

Customer Segmentation Using Customers Dataset This project groups mall customers based on their age, income, and spending behavior to uncover distinct shopper personas. Using unsupervised machine ...