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Research Paper#Computer Graphics, Rendering, Physically Based Rendering (PBR)🔬 ResearchAnalyzed: Jan 3, 2026 18:29

OpenPBR: Detailed Implementation and Features

Published:Dec 29, 2025 18:53
1 min read
ArXiv

Analysis

This paper provides valuable implementation details and theoretical foundations for OpenPBR, a standardized physically based rendering (PBR) shader. It's crucial for developers and artists seeking interoperability in material authoring and rendering across various visual effects (VFX), animation, and design visualization workflows. The focus on physical accuracy and standardization is a key contribution.
Reference

“The paper offers 'deeper insight into the model's development and more detailed implementation guidance, including code examples and mathematical derivations.'”

PermalinkArXiv
Business#Machine Learning📝 BlogAnalyzed: Dec 29, 2025 08:07

Advancing Machine Learning at Capital One with Dave Castillo - #328

Published:Dec 19, 2019 16:56
1 min read
Practical AI

Analysis

This article from Practical AI features an interview with Dave Castillo, Managing VP for ML at Capital One. The focus is on Capital One's journey in adopting and scaling machine learning across the enterprise. The discussion covers the transition from a research-focused approach to a company-wide implementation, highlighting platform development, unexpected use cases, and challenges encountered. The interview promises insights into Capital One's ML ecosystem, its design philosophy, and the hurdles faced in building a comprehensive platform. The article is likely to be of interest to those involved in ML, particularly those working on enterprise-level deployments.
Reference

“The article doesn't contain a direct quote, but the focus is on Capital One's ML journey.”

PermalinkPractical AI