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Complexity Research Team (CRT)

"Chaos is the beginning, simplicity is the end.", M.C. Escher

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Neural Networks – Deep Learning

Posted on 12/11/202008/03/2022 by karaka
Posted in Deep Learning, Educational Tutorials, Neural Networks

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Complexity Theory Courses
Machine learning analysis of chaos and vice versa

Recent Posts

  • Spatial constrains and information content of sub-genomic regions of the human genome 11/09/2022
  • Special Issue “Coexistence of Complexity Metrics and Machine-Learning Approaches for Understanding Complex Biological Phenomena” 15/12/2020
  • Professor Robert Sapolsky: “Chaos and Reductionism” 25/11/2020

RSS Machine Learning

  • Eco-driving measures could significantly reduce vehicle emissions 07/08/2025
    New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
    Adam Zewe | MIT News
  • Helping data storage keep up with the AI revolution 06/08/2025
    Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
    Zach Winn | MIT News
  • AI helps chemists develop tougher plastics 05/08/2025
    Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
    Anne Trafton | MIT News

RSS Biology and Genetics

  • Mapping cells in time and space: New tool reveals a detailed history of tumor growth 30/07/2025
    Researchers developed a tool to recreate cells’ family trees. Comparing cells’ lineages and locations within a tumor provided insights into factors shaping tumor growth.
    Greta Friar | Whitehead Institute
  • Staff members honored with 2025 Excellence Awards, Collier Medal, and Staff Award for Distinction in Service 28/07/2025
    The MIT community celebrates their fellow staff members’ talent and dedication to the Institute.
    Katy Dandurand | MIT Human Resources
  • Scientists apply optical pooled CRISPR screening to identify potential new Ebola drug targets 24/07/2025
    Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
    Leah Eisenstadt | Broad Institute

Machine Learning Mastery

  • Making Sense of Text with Decision Trees
  • How to Interpret Your XGBoost Model: A Practical Guide to Feature Importance
  • Grok’s Share and Claude’s Leak: 5 Things We Can Learn From System Prompts
  • 7 Pandas Tricks for Time-Series Feature Engineering
  • Time-Series Transformation Toolkit: Feature Engineering for Predictive Analytics

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