When you’re programming an artificial intelligence application, you’re usually building statistical models that output discrete values. Is that image a human face? Whose face is it? Is that face ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures. By integrating probability theory into ...

Researchers can demonstrate that on some standard computer-vision tasks, short programs -- less than 50 lines long -- written in a probabilistic programming language are competitive with conventional ...

Researchers at MIT have developed a novel programming system called GenQL that extends SQL to deliver probabilistic AI modeling atop tabular data, giving users a new method for bringing predictive ...

Okay, I have to admit, I live in something of a programming language filter bubble—among people I know, probabilistic programming languages are a regular topic of conversation. So I was quite ...

Now that machine-learning algorithms are moving into mainstream computing, the Massachusetts Institute of Technology is preparing a way to make it easier to use the technique in everyday programming.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Countless online courses promise to inculcate budding programmers in the ...

Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on Probability and Algorithms (Feb., 1993), pp. 57-64 (8 pages) ...

The Pentagon's blue-sky research agency is readying a nearly four-year project to boost artificial intelligence systems by building machines that can teach themselves -- while making it easier for ...