An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 ...

Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...

Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...

B. Wang, D. Lee, G. Lee. Learning the robust optimum: a single-loop Bayesian framework for optimization under uncertainty. Submitted to Aerospace Science and Technology, 2026. Extended version of ICAS ...

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 ...

Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

The Area-Wide Optimization Program (AWOP) provides technical assistance via tools and approaches designed to help drinking water systems meet water quality optimization goals and provide an increased ...

Operations Research for BirdsongAn Introduction to Optimizing 'Measure, Select, and Cycle' in Acoustic Monitoring with ...

A metal-free formic acid-mediated hydrogenation method converts bipyridinium derivatives into reduced counterparts containing piperidine linkages. The hydrogenated products undergo spontaneous ...