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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

  • Creating AI that matters 21/10/2025
    How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.
    Lauren Hinkel | MIT-IBM Watson AI Lab
  • New software designs eco-friendly clothing that can reassemble into new items 17/10/2025
    To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
    Alex Shipps | MIT CSAIL
  • Method teaches generative AI models to locate personalized objects 16/10/2025
    After being trained with this technique, vision-language models can better identify a unique item in a new scene.
    Adam Zewe | MIT News

RSS Biology and Genetics

  • The joy of life (sciences) 28/10/2025
    Mary Gallagher’s deeply rooted MIT experience and love of all life supports growth at the MIT Department of Biology.
    Samantha Edelen | Department of Biology
  • Five with MIT ties elected to National Academy of Medicine for 2025 22/10/2025
    Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.
    Lillian Eden | Jane Halpern | Department of Biology | Department of Electrical Engineering and Computer Science
  • Neural activity helps circuit connections mature into optimal signal transmitters 21/10/2025
    Scientists identified how circuit connections in fruit flies tune to the right size and degree of signal transmission capability. Understanding this could lead to a way to tweak abnormal signal transmission in certain disorders.
    David Orenstein | The Picower Institute for Learning and Memory

Machine Learning Mastery

  • 7 Advanced Feature Engineering Tricks for Text Data Using LLM Embeddings
  • The Complete Guide to Model Context Protocol
  • 10 Python One-Liners for Generating Time Series Features
  • The Complete Guide to Pydantic for Python Developers
  • The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models

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