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The Future of Everything

The Future of Everything

著者： Stanford Engineering
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 Host Russ Altman, a professor of bioengineering, genetics, and medicine at Stanford, is your guide to the latest science and engineering breakthroughs. Join Russ and his guests as they explore cutting-edge advances that are shaping the future of everything from AI to health and renewable energy. Along the way, “The Future of Everything” delves into ethical implications to give listeners a well-rounded understanding of how new technologies and discoveries will impact society. Whether you’re a researcher, a student, or simply curious about what’s on the horizon, tune in to stay up-to-date on the latest developments that are transforming our world.All rights reserved 科学 衛生・健康的な生活 身体的病い・疾患
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  • Best of: The future of AI coaching

    Best of: The future of AI coaching
    2025/12/26

    We hope you’re enjoying the holiday season with family, friends, and loved ones. We’ll be releasing new episodes again in the new year – in the meantime, today, we’re re-running a fascinating episode on The future of AI coaching. The past few years have seen an incredible boom in AI and one of our colleagues, James Landay, a professor in Computer Science, thinks that when it comes to AI and education, things are just getting started. He’s particularly excited about the potential for AI to serve as a coach or tutor. We hope you’ll take another listen to this conversation and come away with some optimism for the potential AI has to help make us smarter and healthier.

    Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.

    Episode Reference Links:

    • Stanford Profile: ​​James Landay

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest James Landay, a professor of Computer Science at Stanford University.

    (00:01:44) Evolving AI Applications

    How large language models can replicate personal coaching experiences.

    (00:06:24) Role of Health Experts in AI

    Integrating insights from medical professionals into AI coaching systems.

    (00:10:01) Personalization in AI Coaching

    How AI coaches can adapt personalities and avatars to cater to user preferences.

    (00:12:30) Group Dynamics in AI Coaching

    Pros and cons of adding social features and group support to AI coaching systems.

    (00:13:48) Ambient Awareness in Technology

    Ambient awareness and how it enhances user engagement without active attention.

    (00:17:24) Using AI in Elementary Education

    Narrative-driven tutoring systems to inspire kids' learning and creativity.

    (00:22:39) Encouraging Student Writing with AI

    Using LLMs to motivate students to write through personalized feedback.

    (00:23:32) Scaling AI Educational Tools

    The ACORN project and creating dynamic, scalable learning experiences.

    (00:27:38) Human-Centered AI

    The concept of human-centered AI and its focus on designing for society.

    (00:30:13) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    31 分
  • The future of lipids in evolution

    The future of lipids in evolution
    2025/12/19
    Microbes are awesome, says biologist Paula Welander. They have shaped Earth’s chemistry and its environment over billions of years, including oxygenating the planet to make it habitable for larger life forms. In turn, microbes have been shaped by that very same environment, evolving as the climate has evolved, she says. Welander now studies the lipid membranes of ancient microbes, which can endure for millions of years, to understand this evolution and where we might be headed in the future. Microbes are our connection to the ancient world, Welander tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: ​​Paula V. WelanderConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces guest Paula Welander, a professor of Earth Science at Stanford University.(00:04:06) Why Study Microbial LipidsWhy lipids are essential for modern microbiology and Earth’s history.(00:05:19) Diversity of Microbial MembranesHow bacteria and Archaea build different kinds of membranes.(00:07:15) Reconstructing Ancient EnvironmentsUsing specific lipid biomarkers to understand the early planet.(00:09:20) Chemical Fossils vs. Organism FossilsWhy microbes don’t leave traditional fossils—but their lipids do.(00:10:55) Lipids as Environmental CluesHow certain lipids indicate the environments organisms lived in.(00:12:36) Archaea: A Distinct and Ancient EntityArchaea’s evolutionary importance and chemically distinct membranes.(00:15:43) The Lipid DivideWhy eukaryotic membranes resemble bacterial, not Archaeal, membranes.(00:17:12) Tracing Membrane EvolutionRecent breakthroughs in studying Archaeal lineages related to eukaryotes.(00:19:11) Lipid Preservation Over TimeHow archaeal lipids are especially reliable as long-term biomarkers.(00:20:58) Sterols as BiomarkersThe role sterols, including cholesterol, play in lipid archeology.(00:23:14) Bacterial Cholesterol DiscoveryThe discovery that a rare bacteria can synthesize sterol precursors.(00:25:02) Functional Roles of Bacterial SterolsThe possible roles sterols may play in microbial membranes and cell function.(00:26:31) Archaea in the Human GutThe number and types of Archaea found in the human microbiome.(00:28:43) Archaea and AntibioticsWhether Archaea react similarly to bacteria when exposed to antibiotics.(00:29:46) Future In a MinuteRapid-fire Q&A: hope, research needs, and alternate career dreams.(00:31:43) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    33 分
  • The future of neurodegeneration

    The future of neurodegeneration
    2025/12/12
    Molecular biologist Judith Frydman studies the nuances of protein folding and how defects in the process lead to neurodegenerative diseases. Her team studies protein folding in human cells and in model organisms, like yeast and worms, to understand the molecular events that precipitate harmful protein defects in humans. In one example, Frydman’s team explored how aging affects the creation and the quality of proteins in the brain, leading to cognitive problems. She is now looking to develop therapies – someday perhaps leading to cures – to debilitating diseases such as Alzheimer’s, Parkinson’s, Huntington’s, ALS, and others. The power of science gives her true hope in these important pursuits, Frydman tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: ​​Judith FrydmanConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces guest Judith Frydman, a professor of biology and genetics at Stanford University.(00:04:00) Linking Protein Folding to AgingHow aging disrupts protein-folding machinery across many organisms.(00:07:16) Universal Aging PatternsThe similar age-related protein-folding defects found across organisms(00:09:27) Studying Killifish AgeingResearch on the African killifish as a rapid-aging model organism.(00:13:05) Ribosome Function DeclinesHow aging causes ribosomes to stall and collide, creating faulty proteins.(00:15:31) Aging Across SpeciesThe potential factors causing alternate aging rates in different species.(20:11) What Fails Inside Aging CellsThe cellular components that are leading to bad protein creation.(00:24:04) Therapeutic ApproachesPotential interventions to combat cellular and neurological degeneration.(00:25:12) Gene vs. Small-Molecule TreatmentsHow some interventions may be better suited for certain diseases.(00:27:47) Ribosome Drug PotentialWhy ribosomes and translation factors are viable drug targets.(00:28:56) Next Steps in Aging ResearchUsing human skin fibroblasts to study human aging mechanisms.(00:31:46) Future In a MinuteRapid-fire Q&A: scientific progress, young researchers, and archeology.(00:33:54) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    35 分
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