Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...
eLife

High-frequency spike inference with particle Gibbs sampling

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
Pharm Exec

Bringing the Bayesian Method to Clinical Trials: Q&A with Dr. Stacy Lindborg

Bayesian trials formally integrate prior evidence with accruing data to yield posterior probabilities, supporting interim learning, adaptive modifications, and direct predictive futility/efficacy ...
ascopubs.org

Comparative Study of Bayesian Information Borrowing Methods in Oncology Clinical Trials

Cobimetinib Plus Vemurafenib in Patients With Colorectal Cancer With BRAF Mutations: Results From the Targeted Agent and Profiling Utilization Registry (TAPUR) Study We divided the borrowing ...
Yahoo Finance

Normal Computing Announces Tape-Out of World's First Thermodynamic Computing Chip

CN101 accelerates AI inference, linear algebra, and sampling workloads for diffusion models, a foundational milestone toward dramatically more energy-efficient AI. NEW YORK, Aug. 12, 2025 /PRNewswire/ ...