Tag: incremental improvement

  • 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…

  • 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,…

  • 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…

  • Hacker News: Throw more AI at your problems

    Source URL: https://frontierai.substack.com/p/throw-more-ai-at-your-problems Source: Hacker News Title: Throw more AI at your problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the evolution of AI application development, particularly around the use of multiple LLM (Large Language Model) calls as a means to effectively address problems. It emphasizes a shift…