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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 better way to turn 2D designs into 3D models for rapid prototyping 16/07/2026
    Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
    Adam Zewe | MIT News
  • 3 Questions: Neural transparency and the future of AI design 15/07/2026
    Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
    Media Lab
  • Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering 14/07/2026
    MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.
    Department of Aeronautics and Astronautics

RSS Biology and Genetics

  • MIT Professor Susumu Tonegawa, renowned molecular biologist and Nobel laureate, dies at 86 15/07/2026
    Tonegawa made landmark discoveries about how the immune system generates antibody diversity and how the brain forms memories.
    Anne Trafton | MIT News
  • Ketogenic diets may increase cancer risk in the small intestine 15/07/2026
    MIT researchers have found that a ketogenic high-fat, low-carbohydrate diet fuels the growth of intestinal tumors.
    Anne Trafton | MIT News
  • Why are some bacterial genes high in purines? 02/07/2026
    In certain species of bacteria, the answer lies in shielding RNA transcripts from a quality-control factor called Rho. Understanding the requirements for expressible sequences is critical for expression engineering of therapeutic agents.
    Lillian Eden | Department of Biology

Machine Learning Mastery

  • Agentic AI Security: Defending Against Prompt Injection and Tool Misuse
  • Run a Local AI Model with Ollama in 15 Minutes
  • Scikit-Ollama for Scikit-LLM/Ollama Integration
  • LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does
  • Building AI Agents? Here Are Some Anti-Patterns to Avoid.

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