• the Shift ep. 13 : the cure for cancer ?!
    2024/10/14

    In this episode of the Shift, we cover the latest in cancer research uncovering a ground-breaking new treatment with surprising results.

    Link to the paper : https://isom.ca/article/targeting-the-mitochondrial-stem-cell-connection-in-cancer-treatment-a-hybrid-orthomolecular-protocol/

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    13 分
  • the Shift ep. 12 : chemputation
    2024/10/14

    This episode of the Shift covers Professor Lee Cronin's emerging work in the field of Assembly Theory and Chemputation.

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    18 分
  • the Shift ep. 11 : liquid foundation models
    2024/10/01

    In this episode of the Shift, our hosts cover the latest in AI foundation models; reviewing the technical details of Liquid AI's new architecture liquid foundation models (LFMs).

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    15 分
  • the Shift ep. 10 : diving deep into breathwork
    2024/10/01

    In this episode, we cover four of the latest research papers with breathwork protocols.

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    15 分
  • the Shift ep. 9 : microtubules and magnetism
    2024/10/01

    In this episode of the Shift, we cover two research papers covering the quantum effects of microtubules and how magnets can play a role in affecting the brain.

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    11 分
  • the Shift ep. 8 : self-evolving robots
    2024/09/20

    Today's episode covers the latest research paper on self-evolving robots and their implications in various environments.

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    15 分
  • the Shift ep. 7 : automating scientific research with llms and agents
    2024/09/20

    In this episode of the Shift, we cover a fascinating new space in the intersections of machine learning and scientific research; using LLMs and agents to automate the scientific method.

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    21 分
  • the Shift ep. 6 : exploring Dr. Michael Levin's latest work
    2024/09/19

    In this episode of the Shift, we cover some Dr. Michael Levin's latest in work in "Self-Improving Memory", "the Multi-Scale Wisdom of the Body", and "Evolutionary Implications of Self-Assembling Cybernetic Materials with Collective Problem-Solving Intelligence at Multiple Scales".

    Links to the research :

    Self-Improving Memory : https://www.mdpi.com/1099-4300/26/6/481

    et. al

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    11 分