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Complexity Research Team (CRT)

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

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Simulations

Strange Attractors

Lorenz
Chen
Rossler
Three Scroll Unified Chaotic System
Four Wing
Reversible Reactions

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

  • A model of virtuosity 19/11/2024
    Acclaimed keyboardist Jordan Rudess’s collaboration with the MIT Media Lab culminates in live improvisation between an AI “jam_bot” and the artist.
    Nicole Estvanik Taylor | Arts at MIT
  • Can robots learn from machine dreams? 19/11/2024
    MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.
    Rachel Gordon | MIT CSAIL
  • Graph-based AI model maps the future of innovation 12/11/2024
    An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.
    Stephanie Martinovich | Department of Civil and Environmental Engineering

RSS Biology and Genetics

  • Curiosity, images, and scientific exploration 19/11/2024
    Professor of the practice Alan Lightman’s new book digs into the wonder of striking visual phenomena in nature.
    Peter Dizikes | MIT News
  • When a cell protector collaborates with a killer 18/11/2024
    New research reveals what it takes for a protein that is best known for protecting cells against death to take on the opposite role.
    Jennifer Michalowski | McGovern Institute for Brain Research
  • When muscles work out, they help neurons to grow, a new study shows 12/11/2024
    The findings suggest that biochemical and physical effects of exercise could help heal nerves.
    Jennifer Chu | MIT News

Machine Learning Mastery

  • A Practical Guide to Building Recommender Systems
  • Building Your First Chatbot: A Hands-On Tutorial with Open-Source Tools
  • 5 Tips for Avoiding Common Rookie Mistakes in Machine Learning Projects
  • Mastering the Art of Hyperparameter Tuning: Tips, Tricks, and Tools
  • A Practical Guide to Choosing the Right Algorithm for Your Problem: From Regression to Neural Networks

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