Probability theory provides a framework for modelling uncertainty. I highlight five areas of current research at the frontier of probabilistic machine learning, emphasizing areas that are of broad ...

Bean Machine — built on top of Meta’s PyTorch machine learning framework and Bean Machine Graph (BMG), a custom C++ backend — lets data ... uncertainty in the form of probability ...

It does this by incorporating probability distributions ... a crucial role in tasks that involve learning from data, making predictions, and handling uncertainty. Here are some key ways they ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

Together, Rigetti and ADIA Lab will collaborate to design, build, execute, and optimize a quantum computing solution intended to address the probability distribution classification problem ...