We speak with Timnit Gebru, a leader in the field of AI ethics, about how artificial intelligence is entrenching societal biases and inequality. Gebru is the founder and executive director of the ...

In 2019, the Istanbul-born media artist Refik Anadol and his team turned the cavernous concrete hall of Berlin’s former power plant Kraftwerk into a superlunary large-scale installation. Spectators ...

To systematically review the literature on the application of machine learning models in post-stroke aphasia, and to provide a reference for the construction and clinical application of related models ...

The identification of exoplanets within habitable zones remains a central objective in modern astrophysics, particularly with the availability of large-scale photometric datasets from space-based ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

A recent study published in Engineering utilized machine learning to identify distinct clusters of chronic obstructive pulmonary disease (COPD) patients in China, highlighting how comorbidity profiles ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...