The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics ...

Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential ...

Probabilistic computing, using the Boltzmann law, claims to be 100 million times more energy-efficient than current NVIDIA GPUs by using noise for complex calculations.

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Tina A. Grotzer, S. Lynneth Solis, M. Shane Tutwiler, Megan Powell Cuzzolino, A study of students' reasoning about probabilistic causality: Implications for understanding complex systems and for ...

Probabilistic Chips Krishna Palem thinks a little uncertainty in chips could extend battery life in mobile devices–and maybe the duration of Moore’s Law, too. by Erika Jonietz February 19, 2008 ...

A new study warns that Morocco’s Al Wahda Dam, located in the seismically active Rif Mountains, faces a 100% probability of ...

Little’s Law helps teams that use user stories for planning and tracking project execution, with a project buffer to manage inherent uncertainty of a fixed-bid project and protect its delivery date.

A probabilistic good is not a concrete product or service but an offer involving a probability of getting any one of a set of multiple distinct items. Under the probabilistic selling strategy, a multi ...