Deep Papers
Arize AIDeep Papers is a podcast series featuring deep dives on today’s most important AI papers and research. Hosted by Arize AI founders and engineers, each episode profiles the people and techniques behind cutting-edge breakthroughs in machine learning.
| Publishes | Twice monthly | Episodes | 59 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnologyMathematics | |||
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Latest Episodes
We dive into the latest paper from Google and a team of academic researchers: "TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture."
Hear from one of the paper's authors — Yongchao Chen, Research Scientist — walks through the research and its... more
In our latest paper reading, we had the pleasure of hosting Grégoire Mialon — Research Scientist at Meta Superintelligence Labs — to walk us through Meta AI’s groundbreaking paper titled “ARE: scaling up agent environments and evaluations" and the ne... more
Santosh Vempala, Frederick Storey II Chair of Computing and Distinguished Professor in the School of Computer Science at Georgia Tech, explains his paper co-authored by OpenAI's Adam Tauman Kalai, Ofir Nachum, and Edwin Zhang. Read the paper: Sign up... more
Large language models are increasingly used to turn complex study output into plain-English summaries. But how do we know which models are safest and most reliable for healthcare?
In this most recent community AI research paper reading, Arjun Muker... more
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Frequently Asked Questions About Deep Papers
What is Deep Papers about and what kind of topics does it cover?
Focused on the field of artificial intelligence, the series offers in-depth discussions around pivotal research papers and breakthroughs in machine learning. Each episode presents insights from leading experts and researchers, uncovering the methodologies, implications, and future directions stemming from critical advancements in AI technology. Notable topics include agency in AI, self-adapting models, and innovative techniques for improving reasoning in machine learning systems. The engaging format, enriched with technical depth, is likely to attract listeners who are not only enthusiasts but also professionals and researchers keen on understanding AI's rapidly evolving landscape.
Where can I find podcast stats for Deep Papers?
Rephonic provides a wide range of podcast stats for Deep Papers. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Deep Papers and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does Deep Papers get?
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What are the audience demographics for Deep Papers?
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How many subscribers and views does Deep Papers have?
To see how many followers or subscribers Deep Papers has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to Deep Papers?
These podcasts share a similar audience with Deep Papers:
1. Practical AI
2. NVIDIA AI Podcast
3. Dwarkesh Podcast
4. Training Data
5. a16z Podcast
How many episodes of Deep Papers are there?
Deep Papers launched 3 years ago and published 59 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Deep Papers?
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Where can I see ratings and reviews for Deep Papers?
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View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for Deep Papers?
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What guests have appeared on Deep Papers?
Recent guests on Deep Papers include:
1. Santosh Vempala
2. Stan Miasnikov
3. John Kirchenbauer
4. Sally Anne
5. Shuaichen Chang
6. Sam Marks
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.