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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

  • The benefits of medical AI assistance vary based on user expertise 04/08/2026
    Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.
    Adam Zewe | MIT News
  • Alexander Rakhlin named director of the MIT Statistics and Data Science Center 03/08/2026
    An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
    Institute for Data, Systems, and Society
  • 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

RSS Biology and Genetics

  • Scientists unveil more than 600 new tissue models of human cancer 05/08/2026
    Derived from patient tumor samples and available to researchers around the world, the cells will aid the development of new cancer treatments.
    Anne Trafton | MIT News
  • 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

Machine Learning Mastery

  • Designing AI Agents That Can Self-Correct
  • 7 Chunking Strategies That Decide Whether Your RAG Works
  • Measuring Performance of Transformer Inference
  • Static vs. Dynamic vs. Continuous Batching in LLM Inference
  • Decoding Strategies and Output Control

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