OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...
Abstract: This paper experimentally investigates numerical optimization methods for configuring the Time-Aware Shaper (TAS) in IEEE 802.1 Time-Sensitive Networking (TSN) within Ethernet-based factory ...
Optimization methods form the backbone of numerical analysis, enabling the efficient solution of problems across engineering, data science, physics and beyond. At their core lie gradient-based ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Composite solid propellants, used as working substance for ...
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 ...
ENFORCpp is a C++ tool that allows you to solve nonlinear constrained optimization problems. The tool is designed with real-time considerations and is suitable for online trajectory and control input ...
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The present paper focuses on the optimization of large-flow coefficient centrifugal compressors, utilizing a mature centrifugal compressor impeller with a flow coefficient of 0.16 under design point ...
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