A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

Compared with the traditional Bayesian inversion method, which uses probabilistic sampling method and requires a large number of samples, DE-GWO-SVR uses populations for intelligent global search ...

Explore the groundbreaking potential of probabilistic and thermodynamic computing in enhancing computational power and energy efficiency.

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

To optimize the parameters of the restricted Boltzmann machine, a new optimization algorithm is proposed and referred to as parallel greylag goose (PGGO) algorithm. The recommendation algorithm takes ...

“But if I didn’t think about it in a randomized way as a probabilistic question, I probably would not think of it.” Nearly 30 years after Nisan and Wigderson’s landmark proof, randomized algorithms ...