Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

In artificial intelligence research, scientists often describe parts of a model using simple algorithmic language. A small ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Researchers at Rice University and Baylor College of Medicine have developed a method that pairs engineered nanoparticles with machine learning algorithms to detect trace toxic pollutants in complex ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...

Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...