Researchers with the Probabilistic Computing Project in the MIT Department of Brain and Cognitive Sciences created GenQL in part to bridge this impedance mismatch and tool gap and bring SQL-like ...

Deep probabilistic programming is a new development in machine learning that combines the principled treatment of uncertainty provided by Bayesian statistics with the capabilities of deep learning.

Technical Terms Probabilistic Programming: A programming paradigm that incorporates probabilistic models within code, enabling the direct representation and manipulation of uncertainty.

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