Podcast thumbnail for targz

by Luca Florio

10 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇮🇹

Podcast Overview

In targz we brigde the gap between industry and academia in the IT world. In every episode I will interview a researcher that will explain a paper that is representative of their work. We will try to keep it short an simple, so that anyone working in IT can enjoy and understand the paper, no Ph.D. required. Fasten your seat belt, open your mind, and get ready to unpack a tarball of compressed Computer Science knowledge!

Language

🇺🇲

Publishing Since

1/12/2026

1 verified contact email on file for targz

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Recent Episodes

Episode thumbnail for EP10 - Quantum Computing and Memory. With Dr. Alessandro Berti

May 25, 2026

EP10 - Quantum Computing and Memory. With Dr. Alessandro Berti

<p>Talking about Quantum Computing always makes me feel like I am wearing a pair of glasses that let me see straight into the future. Join me in this episode of targz with <a href="https://www.linkedin.com/in/aleberti/" target="_blank" rel="noopener nofollow">Alessandro Berti</a>, Postdoc at <a href="https://www.linkedin.com/school/unipisa/" target="_blank" rel="noopener nofollow">University of Pisa</a>, where we talk about Quantum Algorithms and specifically the importance of (quantum) memory!</p><p>If you want to dig further in the topic, you can read more in the paper &quot;<a href="https://arxiv.org/pdf/2510.16149" target="_blank" rel="noopener nofollow">Efficient Quantum State Preparation with Bucket Brigade QRAM</a>&quot;.</p>

Episode thumbnail for EP09 - The Thinking Process of LLMs. With Sara Marjanovic

May 11, 2026

EP09 - The Thinking Process of LLMs. With Sara Marjanovic

<p>Have you ever thought about the thinking process of LLMs? Well, <a href="https://www.linkedin.com/in/sara-vera-marjanovic" target="_blank" rel="noopener nofollow">Sara Marjanovic</a>, PhD student at <a href="https://www.linkedin.com/school/university-of-copenhagen/" target="_blank" rel="noopener nofollow">University of Copenhagen</a>, did it and she shares her research with us in this episode of targz! </p><p>If you want to dig further in the topic, you can read more in the paper &quot;<a href="https://openreview.net/pdf?id=BZwKsiRnJI" target="_blank" rel="noopener nofollow">DeepSeek-R1 Thoughtology: Let’s think about LLM reasoning</a>&quot;.</p>

Episode thumbnail for EP08 - Fairness and Relevance in Recommender Systems. With Dr. Theresia Veronika Rampisela

April 27, 2026

EP08 - Fairness and Relevance in Recommender Systems. With Dr. Theresia Veronika Rampisela

<p>Fairness and relevance may be diverging goals in recommender systems. Can we find a way to achieve both? We talk about it with Dr. <a href="https://www.linkedin.com/in/theresia-rampisela/" target="_blank" rel="noopener nofollow">Theresia Veronika Rampisela</a> in this episode of targz!</p><p>Do you want to dig more? Checkout the paper: &quot;<a href="https://arxiv.org/abs/2502.11921" target="_blank" rel="noopener nofollow">Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier</a>&quot;</p>

10 total episodes available

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Frequently asked questions

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What is targz?

In targz we brigde the gap between industry and academia in the IT world. In every episode I will interview a researcher that will explain a paper that is representative of their work. We will try to keep it short an simple, so that anyone working in IT can enjoy and understand the paper, no Ph.D. required. Fasten your seat belt, open your mind, and get ready to unpack a tarball of compressed Computer Science knowledge!

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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