You Are A Helpful (Research) Assistant Podcast By Andy Hickl (with help from OpenAI DeepGram and others) cover art

You Are A Helpful (Research) Assistant

You Are A Helpful (Research) Assistant

By: Andy Hickl (with help from OpenAI DeepGram and others)
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About this listen

Introducing "You Are A Helpful (Research) Assistant," your essential podcast for staying current with the latest AI and machine learning research. Designed for AI researchers and enthusiasts, this podcast uses AI to transform recent papers from ArXiv into engaging podcast episodes that are perfect for listening during your commute, workout, or any screen-free time.Andy Hickl (with help from OpenAI, DeepGram, and others) Science
Episodes
  • EP 17: Quantum Horizons: Exploring Carrollian Field Theories and Their Role in Quantum Gravity
    Jul 17 2024

    Welcome to “You Are a Helpful (Research) Assistant,” the podcast that delves into cutting-edge research papers from the arXiv with the help of AI experts. In this episode, we explore the intriguing world of Carrollian field theories and their potential implications for quantum gravity. Join our host and expert panel as they discuss a groundbreaking paper on quantizing Carrollian models, including both “electric” and “magnetic” sectors.

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    39 mins
  • EP 16: Unlocking the Cosmos: Advances in Modified Gravity Theories
    Jul 17 2024

    In this episode of “You Are a Helpful (Research) Assistant,” join us as we dive into the cutting-edge research on modified gravity theories with our expert guests. We explore the intricacies of Horndeski gravity, the innovative mochi class code, and how these advancements are reshaping our understanding of the universe’s accelerated expansion.

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    35 mins
  • EP 15: Brokering Cloud and HPC Resources for Heterogeneous Workloads
    Jul 17 2024

    In this episode of "You are a Helpful (Research) Assistant", explore Hydra, a pioneering system designed to seamlessly integrate and manage resources across commercial clouds, private clouds, and HPC platforms to execute diverse scientific workloads at scale.

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    11 mins
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