Abstract: Bayesian optimization is commonly used to optimize black-box functions associated with simulations in engineering and science. Bayesian optimization contains two essential components: the ...

Introduction: Advances in automation and AI/ML offer new opportunities for plant science, including design, modeling, and analysis. This study aimed to develop an automated platform for researching ...

A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators to efficiently and ...

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...

1 Department of Mechanical and Process Engineering (D-MAVT), Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland 2 CREATE Lab, École Polytechnique Fédérale de Lausanne (EPFL), ...

In the first months of his administration, President Donald Trump repeatedly threatened due process, a fundamental principle enshrined in the U.S. Constitution. His attacks have spanned from the ...

Salvage crews have recovered the boom from the $40 million Bayesian luxury yacht, which sank off the coast of Sicily in August 2024, killing seven people, including British tech tycoon Mike Lynch and ...

In my prior article for Fast Company Executive Board, I discussed how open-source AI tools are enabling businesses of every size to solve previously unsolvable business challenges without the need for ...