One virtue of probabilistic models is that they straddle the gap between cognitive science, artificial intelligence, and machine learning. The same methodology is useful for both understanding the ...

This innovative approach efficiently constructs a probabilistic machine learning model from quantum states represented and simulated by tensor networks.

The Machine and Human Intelligence research group led by Principal Investigator Luigi Acerbi is looking for a postdoctoral researcher eager to work on new machine learning methods for robust, ...

The potential of probabilistic computers Date: June 15, 2022 Source: University of California - Santa Barbara Summary: The rise of artificial intelligence (AI) and machine learning (ML) has ...

The founding team left Alphabet based on the belief that they could bridge these same kinds of advantages due from probabilistic machine learning to Generative AI. How is Normal Computing different?

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.