Human Stories in AI: Rick Marks

In this episode we have special guest Rick Marks, a professor at the University of North Carolina Chapel Hill School of Data Science and Society. Before UNC, Rick was a director at Google's Advanced Technology and Projects group, exploring new interaction approaches for ambient computing environments. And before that, Rick founded the PlayStation Magic Lab at PlayStation R&D.
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Пікірлер: 27

  • @statquest
    @statquest3 ай бұрын

    To learn more about Lightning: lightning.ai/? Or just get started with a cool Lightning Studio tutorial: lightning.ai/lightning-ai/studios/the-easiest-way-to-use-gpus-in-the-cloud? Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

  • @nossonweissman
    @nossonweissman3 ай бұрын

    So cool that you're doing a podcast ❤❤ Definitely a huge demand for quality AI podcast content.

  • @statquest

    @statquest

    3 ай бұрын

    Thanks!

  • @aryasunil9041
    @aryasunil90413 ай бұрын

    Hello Josh, Can you tell when your updated version of the book will be out in the market? Or at least the study guides of Neural Networks. Thank you

  • @statquest

    @statquest

    3 ай бұрын

    Not for a while.

  • @akshay_pachaar
    @akshay_pachaar2 ай бұрын

    Thanks for bringing this to us Josh! 🙌

  • @statquest

    @statquest

    2 ай бұрын

    TRIPLE BAM!!! :)

  • @CHRISTIANCOLTRANE
    @CHRISTIANCOLTRANE2 ай бұрын

    Great idea! Human Stories in AI ... Keep up the good work!

  • @statquest

    @statquest

    2 ай бұрын

    Thanks, will do!

  • @antoniobento2105
    @antoniobento21053 ай бұрын

    Thanks for this podcast. Very helpful. Interesting carreer path to learn, work, teach. Thanks doing this.

  • @statquest

    @statquest

    3 ай бұрын

    Glad you enjoyed it!

  • @kaykwanu
    @kaykwanu2 ай бұрын

    🎯 Key Takeaways for quick navigation: 01:27 *🌱 Rick Marks' interest in AI started in high school when he wanted to use technology to augment social interactions, like creating a program for witty remarks.* 02:52 *🎮 Rick Marks discussed his interest in combining AI with video games, highlighting a project called "Daxter" where a character provided commentary based on user interactions.* 07:15 *💡 Rick Marks' journey into computer vision started unexpectedly during his PhD when he pivoted from control theory to computer vision due to interesting sensing requirements for an underwater robot.* 12:49 *🗣️ Rick Marks delved into the importance of context in AI, sharing an anecdote about his father's experience with a smart speaker and discussing his interest in real-time contextual understanding.* 13:45 *🧠 Rick Marks expressed interest in generative AI and its potential applications, particularly in combining AI with virtual reality to dynamically create content based on user interactions.* 14:51 *🎨 Rick Marks discussed student projects involving generative AI, such as a "magic canvas" that dynamically generates images based on user requests within virtual reality environments.* 17:47 *📚 Rick Marks mentioned the "Future of Storytelling" conference, emphasizing the intersection of storytelling and technology, which inspires innovative approaches to immersive experiences.* 21:31 *🎓 Rick Marks decided to transition from industry to academia, motivated by a desire to share industry experience through teaching.* 22:55 *💡 Rick Marks chose UNC Chapel Hill due to connections, welcoming atmosphere, and the opportunity to contribute to the newly established data science school.* 23:51 *🌱 Marks' lifelong plan, formulated at age 16, involved 25 years of learning, 25 years in industry, and 25 years of teaching.* 25:28 *🔍 Rick Marks highlights the value of bridging the gap between academia and industry by bringing real-world context into education.* 28:43 *📚 Marks advises students to develop depth in a particular area while also maintaining breadth of knowledge, resembling a "t-shaped" skill set.* Made with HARPA AI

  • @statquest

    @statquest

    2 ай бұрын

    bam!

  • @virenpai9395
    @virenpai93953 ай бұрын

    The concept of hiding model's latency was pretty interesting. Machine can buy more time to get high accuracy output with very low 'perceived latency'. Bam!! Thanks for this podcast Josh🙂

  • @statquest

    @statquest

    3 ай бұрын

    Exactly! I thought that was a really cool point that I'd never thought of before.

  • @396me
    @396me3 ай бұрын

    Please write more books sir, A big request sir with complete topics. A roadmap as well

  • @statquest

    @statquest

    3 ай бұрын

    I'm working on it.

  • @vigneshvicky6720
    @vigneshvicky67203 ай бұрын

    We want yolo.... We want yolo...💪

  • @statquest

    @statquest

    3 ай бұрын

    Noted. I'll definitely look into it.

  • @amitabhachakraborty497

    @amitabhachakraborty497

    3 ай бұрын

    With unet

  • @vigneshvicky6720

    @vigneshvicky6720

    3 ай бұрын

    @@amitabhachakraborty497 unet is easy already many tutorials are available

  • @kartikchaturvedi7868
    @kartikchaturvedi78683 ай бұрын

    Superrrb Awesome Fantastic video

  • @statquest

    @statquest

    3 ай бұрын

    Thank you!

  • @Vanishreeachutha
    @Vanishreeachutha3 ай бұрын

    How to tokenize a XML data?

  • @statquest

    @statquest

    3 ай бұрын

    Google "xml tokenizer"

  • @BUY_YOUTUB_VIEWS_625
    @BUY_YOUTUB_VIEWS_6253 ай бұрын

    One of my fav songs

  • @statquest

    @statquest

    3 ай бұрын

    bam! :)