Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning and generative design are profoundly shaping modern life. A central critique to the value and advancement of artificial intelligence, especially in the context of architecture, is ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

In particular, distributed stochastic gradient descent intensively invokes all-reduce operations for gradient update, which dominates communication time during iterative training epochs. In this work, ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by machine learning.