The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Students gave their consent that their stories could be used for research purposes and might be published. Out of a class of ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.

Partially observable Markov decision processes (POMDPs) have been widely applied in various real-world applications. However, existing results have shown that learning in POMDPs is intractable in the ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine ...

Behind this split-second decision lies a complex machine-learning system that must be accurate, observable, maintainable, and reliable.

Discover why observable behavior provides the clearest, fairest, and most effective approach to assessing what students learn.