An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 ...
Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every ...
Operations Research for BirdsongAn Introduction to Optimizing 'Measure, Select, and Cycle' in Acoustic Monitoring with ...
Hello, I'm Kaname🌸 I deliver easy-to-understand content from the realistic perspective of a research lab.Suddenly, though..."I typed 'pip install' just like the article said, but it didn't work ...
When Numba code disappoints, it's nearly never the compiler, and usually ends up being the boundary around the compiled code: not crossing it, not making it wide enough, or crossing it during every ...
Token optimization is critical for designing precise prompts. A Python framework can be designed to accept an English prompt as input, analyse it, remove duplicate or low-value content, and return a ...
RT01: A first-in-class theranostic radionuclide drug conjugate (RDC) with zirconium-89 and lutetium-177 targeting tissue factor. Debio 0123 (zedoresertib), a selective WEE1 inhibitor, in combination ...
In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...
We explore how quantum computation – a computing method based on the principles of quantum physics – could be applied to Bayesian inference – an approach to updating beliefs and making predictions ...
Abstract: We propose a guided multi-fidelity Bayesian optimization framework for data-efficient controller tuning that integrates corrected digital twin simulations with real-world measurements. The ...
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