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Research#Plasma Modeling🔬 ResearchAnalyzed: Jan 10, 2026 09:20

MCPlas: A MATLAB Toolbox for Reproducible Plasma Modeling

Published:Dec 19, 2025 21:53
1 min read
ArXiv

Analysis

The announcement of MCPlas, a MATLAB toolbox, is significant for plasma physics research. It promotes reproducibility, a crucial aspect of scientific validation, within COMSOL simulations.
Reference

MCPlas is a MATLAB toolbox for reproducible plasma modelling with COMSOL.

Technology#AI Deployment📝 BlogAnalyzed: Dec 29, 2025 07:29

Deploying Edge and Embedded AI Systems with Heather Gorr - #655

Published:Nov 13, 2023 18:56
2 min read
Practical AI

Analysis

This article from Practical AI discusses the deployment of AI models to hardware devices and embedded AI systems. It features an interview with Heather Gorr, a principal MATLAB product marketing manager at MathWorks. The conversation covers crucial aspects of successful deployment, including data preparation, model development, and the deployment process itself. Key considerations like device constraints, latency requirements, model explainability, robustness, and quantization are highlighted. The article also emphasizes the importance of simulation, verification, validation, and MLOps techniques. Gorr shares real-world examples from industries like automotive and oil & gas, providing practical context.
Reference

Factors such as device constraints and latency requirements which dictate the amount and frequency of data flowing onto the device are discussed, as are modeling needs such as explainability, robustness and quantization; the use of simulation throughout the modeling process; the need to apply robust verification and validation methodologies to ensure safety and reliability; and the need to adapt and apply MLOps techniques for speed and consistency.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 07:18

Machine Learning Algorithms Examples in MatLab/Octave

Published:Oct 31, 2018 14:59
1 min read
Hacker News

Analysis

This article likely provides practical examples of machine learning algorithms implemented in MatLab or Octave. The source, Hacker News, suggests a technical audience interested in programming and AI. The focus is on implementation rather than theoretical concepts, making it useful for practitioners.

Key Takeaways

    Reference