Parameter reduction is one of the hot topics in soft set theory. Deleting redundant parameters can reduce data and make decision effectively. In this article parameter reduction in fuzzy soft sets ...

Generative AI is different from older AI because it creates new things, while older AI usually just sorts or analyzes stuff.

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Brad Menezes, CEO of enterprise vibe-coding startup Superblocks, is convinced that the next crop of billion-dollar startup ideas are hiding in almost plain sight: system prompts.

According to Russell, advisors' should now work on answer engine optimization, which focuses on tailoring content to help AI systems understand, process, and recommend it to users who ask questions.

Inaccurate motor parameters can lead to an inefficient motor control. Although several motor estimation methods have been utilized to estimate motor parameters, it is still challenging to ensure a ...

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ScodaKit: A scientific Python-based command line toolkit for S-coda seismic wave analysis and scattering parameters estimation ScodaKit is an open-source command-line pipeline for estimating the ...