MIT Technology Review

Achieving operational excellence with AI

As AI reshapes how work gets done, organizations with strong process frameworks are best positioned to lead and maintain ...

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
GitHub

BayBE — A Bayesian Back End for Design of Experiments

This is achieved via Bayesian Design of Experiments, which helps to efficiently navigate parameter search spaces. It balances exploitation of parameter space regions known to lead to good outcomes and ...
GitHub

Bayesian Optimization & Analysis of Hyperparameters

This repository provides simple examples of how to construct a configuration space using the ConfigSpace package, how to use BOHB with minimal efforts and how to run CAVE to generate a comprehensive ...
IEEE

Adaptive Bayesian Optimization for High-Precision Motion Systems

Abstract: Controller tuning and parameter optimization are crucial in system design to improve closed-loop system performance. Bayesian optimization has been established as an efficient model-free ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Scientific Research Publishing

Experimental Design of Measuring Soil-Water Characteristic Curve of Unsaturated Soil Using Bayesian Approach ()

Key Laboratory of Geotechnical Mechanics and Engineering of the Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan, China. Soil-water characteristic curve (SWCC) is ...
C&EN

Bayesian Optimization as a Sustainable Strategy for Early-Stage Process Development? A Case Study of Cu-Catalyzed C–N Coupling of Sterically Hindered Pyrazines

Bayesian optimization is a powerful machine learning technique that is particularly well-suited for optimizing chemical reactions in the early stages of process development. It can efficiently explore ...