Tag: incremental improvement
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Scott Logic: The Feature Fallacy
Source URL: https://blog.scottlogic.com/2025/05/22/the-feature-fallacy.html Source: Scott Logic Title: The Feature Fallacy Feedly Summary: Features or Foundations. Where do you start. What are the pros and cons of building fast or building the blocks to build on. AI Summary and Description: Yes **Summary:** The text delves into the strategic tension between prioritizing feature development and investing in…
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Alerts: USDA Releases Success Story Detailing the Implementation of Phishing-Resistant Multi-Factor Authentication
Source URL: https://www.cisa.gov/news-events/alerts/2024/11/20/usda-releases-success-story-detailing-implementation-phishing-resistant-multi-factor-authentication Source: Alerts Title: USDA Releases Success Story Detailing the Implementation of Phishing-Resistant Multi-Factor Authentication Feedly Summary: Today, the Cybersecurity and Infrastructure Security Agency (CISA) and the U.S. Department of Agriculture (USDA) released Phishing-Resistant Multi-Factor Authentication (MFA) Success Story: USDA’s FIDO Implementation. This report details how USDA successfully implemented phishing-resistant authentication for its…
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Hacker News: PiML: Python Interpretable Machine Learning Toolbox
Source URL: https://github.com/SelfExplainML/PiML-Toolbox Source: Hacker News Title: PiML: Python Interpretable Machine Learning Toolbox Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces PiML, a new Python toolbox designed for interpretable machine learning, offering a mix of low-code and high-code APIs. It focuses on model transparency, diagnostics, and various metrics for model evaluation,…
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Hacker News: Low-poly image generation using evolutionary algorithms in Ruby
Source URL: https://thomascountz.com/2023/07/30/low-poly-image-generation Source: Hacker News Title: Low-poly image generation using evolutionary algorithms in Ruby Feedly Summary: Comments AI Summary and Description: Yes Summary: The text delves into the application of evolutionary algorithms inspired by biological systems for tasks like image reconstruction, particularly creating low-poly representations. It explores the structure of genetic algorithms, the configuration…