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Research#Calculus🔬 ResearchAnalyzed: Jan 10, 2026 07:35

Advanced Fractional Calculus: New Results and Applications

Published:Dec 24, 2025 16:44
1 min read
ArXiv

Analysis

This ArXiv paper delves into the complex world of fractional calculus, specifically focusing on the Prabhakar type fractional derivative. The research likely presents novel mathematical results and explores their potential applications.
Reference

“The paper investigates the nth-Level Prabhakar Type Fractional Derivative.”

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Research#Calculus🔬 ResearchAnalyzed: Jan 10, 2026 07:35

Analysis of Prabhakar Fractional Derivative in Boundary Value Problems

Published:Dec 24, 2025 16:07
1 min read
ArXiv

Analysis

This article, sourced from ArXiv, focuses on a specific mathematical concept: the Prabhakar fractional derivative. It likely presents new mathematical solutions or expands on existing methods for solving boundary value problems within this framework.
Reference

“The context refers to a boundary value problem involving the Prabhakar fractional derivative.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 29, 2025 07:37

Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617

Published:Feb 20, 2023 20:12
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. The discussion centers on Prabhakaran's research using Machine Learning (ML), specifically Natural Language Processing (NLP), to investigate social disparities. The article highlights his work analyzing interactions between police officers and community members, assessing factors like respect and politeness. It also touches upon his research into bias within ML model development, from data to the model builder. Finally, the article mentions his insights on incorporating fairness principles when working with human annotators to build more robust models.

Key Takeaways

Reference

“Vinod shares his thoughts on how to incorporate principles of fairness to help build more robust models.”

PermalinkPractical AI