• PART 2: Workout Reserve and the Future of AI Coaching with Andrea Zignoli - with Dr Andrea Zignoli & Prof. Paul Laursen

  • 2025/04/04
  • 再生時間： 50 分
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PART 2: Workout Reserve and the Future of AI Coaching with Andrea Zignoli - with Dr Andrea Zignoli & Prof. Paul Laursen

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  • 💥 Dr. Andrea Zignoli wants you to understand that Workout Reserve is not just another performance metric—it’s a breakthrough in how we track and interpret what athletes can actually do in real time.

    In Part 2 of this deep-dive on the Training Science Podcast, Andrea and Paul explore why traditional models like W′ fall short, and how Workout Reserve offers a more flexible, mechanical (not physiological) way to understand athlete capability. Plus, they tackle the future of AI coaching—how RAG-AI and Large Language Models are reshaping how athletes and coaches engage with data.

    📊 Why Workout Reserve works when W′ doesn’t
    ⚙️ How mechanical models sidestep physiological guesswork
    ⏱️ Real-time fatigue, durability, and “limiting tau” explained
    🧠 The future of AI coaching: RAG-AI, LLMs, and agents in training platforms

    —
    #WorkoutReserve #TrainingScience #AIinSports #EnduranceTraining #PerformanceModelling #Durability #SportsScience #AthleticaAI #WPrime #RealTimeTraining #AIcoaching #Cycling #Running

    _____________________

    Today’s speakers:

    Prof. Paul Laursen https://www.paullaursen.com/

    Dr. Andrea Zignoli https://andreazignoli.github.io/

    _____________________

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あらすじ・解説

💥 Dr. Andrea Zignoli wants you to understand that Workout Reserve is not just another performance metric—it’s a breakthrough in how we track and interpret what athletes can actually do in real time.

In Part 2 of this deep-dive on the Training Science Podcast, Andrea and Paul explore why traditional models like W′ fall short, and how Workout Reserve offers a more flexible, mechanical (not physiological) way to understand athlete capability. Plus, they tackle the future of AI coaching—how RAG-AI and Large Language Models are reshaping how athletes and coaches engage with data.

📊 Why Workout Reserve works when W′ doesn’t
⚙️ How mechanical models sidestep physiological guesswork
⏱️ Real-time fatigue, durability, and “limiting tau” explained
🧠 The future of AI coaching: RAG-AI, LLMs, and agents in training platforms

—
#WorkoutReserve #TrainingScience #AIinSports #EnduranceTraining #PerformanceModelling #Durability #SportsScience #AthleticaAI #WPrime #RealTimeTraining #AIcoaching #Cycling #Running

_____________________

Today’s speakers:

Prof. Paul Laursen https://www.paullaursen.com/

Dr. Andrea Zignoli https://andreazignoli.github.io/

_____________________

続きを読む 一部表示

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