Yoga teacher Jenni Rawlings and Exercise Science professor Travis Pollen are joined by Jules Mitchell, MS to discuss yoga and artificial intelligence (AI).
Points of discussion include:
- What is AI?
- How do we commonly interact with AI in today’s world?
- What would an AI for yoga look like on a practical level?
- What was Jules’ experience like consulting with a company that wanted to develop AI for yoga?
- What are the strengths of AI for yoga?
- What are the limitations of AI for yoga?
- Is AI yoga safer than practicing to non-AI prerecorded yoga video classes?
- Is AI yoga more personalized than non-AI prerecorded yoga video classes?
- What does Jules see as far as the future of AI and yoga?
- …And much more!
Enjoy this engaging and eye-opening discussion for yoga, movement, and fitness geeks!
Jules Mitchell leads advanced continuing education programs in biomechanics for intellectually fearless yoga teachers. She helps them integrate principles of exercise science and applications of pain science into their classes. Jules is the author of Yoga Biomechanics: Stretching Redefined, a unique, evidence-based exploration into the complexities of tissue mechanics and the human body’s resilience and adaptability. She leads workshops and courses online and worldwide, runs a popular 300 hour yoga teacher training, frequently serves as guest faculty, and hosts a comprehensive mentoring program to support teachers in both education and business. Visit her at julesmitchell.com.
Resources mentioned in this episode:
Jules Mitchell’s website / Jules on Instagram / Jules’ book Yoga Biomechanics: Stretching Redefined
Jenni’s email newsletter
Strength for Yoga Remote Group Training – ongoing, interactive monthly strength program for yogis designed by Jenni & Travis
Online yoga class library & yoga anatomy workshops with Jenni
Strength for Yoga email newsletter
To find out more about Travis Pollen: website / Instagram
Music used with generous permission from Dischord A Cappella.
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Informations
- Émission
- Publiée19 décembre 2023 à 10:00 UTC
- Durée1 h 19 min
- Épisode50
- ClassificationTous publics