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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

  • New AI technique could make minimally invasive surgeries safer and more precise 16/09/2026
    This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.
    Adam Zewe | MIT News
  • New method enables AI for safety-critical situations 14/09/2026
    The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
    Adam Zewe | MIT News
  • MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines 09/09/2026
    A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
    Amanda Diehl | MIT Schwarzman College of Computing

RSS Biology and Genetics

  • Atlas of the brain’s striatum could guide researchers to new drug treatments 01/09/2026
    A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders.
    Anne Trafton | MIT News
  • MIT Quantum Initiative launches postdoctoral fellowship program 31/08/2026
    The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
    Liam McDonnell | Office of Innovation and Strategy
  • Study: Peptides can form well-defined structures in harsh, Venus-like conditions 31/08/2026
    New research offers support for the possibility that complex biological molecules could exist in the highly acidic environment of Venus’s cloud layer.
    Anne Trafton | MIT News

Machine Learning Mastery

  • Multilingual Text Classification with Scikit-LLM and Multilingual Embeddings
  • The Roadmap to Mastering Voice Agents
  • Treating Prompt Templates as Hyperparameters in Scikit-LLM GridSearchCV
  • A Gentle Introduction to Model Distillation
  • Fine-Tuning Agentic AI: A Practical Guide

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