Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units ...
Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...
DiSCourse - The Digital Science Seminar Series on: Data Science in Cosmology ...
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
State Grid Jiangsu Electric Power Co., Ltd., Yancheng Dafeng District Power Supply Branch, Yancheng, China Improving the accuracy of state evaluation for Zinc Oxide (ZnO) surge arresters is essential ...
Bayesian network structure learning using hybrid K2 search and hill climbing optimization. Discovers causal relationships in observational data across datasets with 8-50 variables and up to 10K ...
This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...
Abstract: This paper considers a joint scattering environment sensing and data recovery problem in an uplink integrated sensing and communication (ISAC) system. To facilitate joint scatterers ...