Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...
Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, ...
This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...
Abstract: Code vulnerability detection (CVD) is a critical approach to ensuring the security, stability, and reliability of software. When exploited by malicious actors or hackers, code ...
Abstract: Detecting malicious activities in network environments poses a challenge that attracts significant attention due to its complexity and importance. Advances in the field have led to the ...
I want to let Qwen2.5 or DeepSeek R1 4Bit quantitative model learn the basic table structure, table name, field name, and field explanation of more than 200 tables in the database of my business ...
The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...
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