For decades, manufacturing plastic-bonded high explosives, or PBXs, has relied on legacy processes like slurry coating. In ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

The first AI agent ran a ransomware attack end to end, signaling a shift to machine-speed cyberattacks and autonomous defense ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Seventy-eight investors say they each put $500,000 into Point Ruston and were left with financial and immigration losses.

Abstract: The steelmaking process in the iron and steel industry involves complicated physicochemical reactions. The main aim of steelmaking is to adjust the quality of molten steel. During the ...

This month, Bayesian Health became the first company to receive FDA clearance for an AI-powered continuous monitoring system for sepsis. Many AI tools for sepsis detection have historically operated ...

Abstract: Asynchronous event sequence clustering aims to group similar event sequences in an unsupervised manner. Mixture models of temporal point processes have been proposed to solve this problem, ...

This repository provides a software suite implementing Domain Elastic Transform (DET), Bayesian Coherent Point Drift (BCPD/GBCPD), and Dependent Landmark Drift (DLD), BCPD registers two point clouds, ...

Implementation of BANSAC, a new guided sampling process for RANSAC. Previous methods either assume no prior information about the inlier/outlier classification of data points or use some previously ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...