Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...
An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...
The RIKEN Center for Advanced Intelligence Project has been launched since April 2016 with the subsidy for “Advanced Integrated Intelligence Platform Project-Artificial Intelligence/ Big Data/ ...
Abstract: Active policy search combines the trial-and-error methodology from policy search with Bayesian optimization to actively find the optimal policy. First ...
GeoBO: A Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences
GeoBO is build upon a probabilistic framework using Gaussian Process (GP) priors to jointly solve multi-linear forward models. This software generates multi-output 3D cubes of geophysical properties ...
Abstract: We propose a novel, scalable deep Bayesian optimization (BO) methodology for designing antennas with a large number of design degrees of freedom. Conventional BO approaches in antenna design ...
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 ...
Studying multiple properties of a material concurrently is essential for obtaining a comprehensive understanding of its behavior and performance. However, this approach presents certain challenges.
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