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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 Comp... more

PublishesTwice monthlyEpisodes10Founded5 months ago
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Latest Episodes

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 Alessandro Berti, Postdoc at University of Pisa, where we talk about Quantum Algo... more

Have you ever thought about the thinking process of LLMs? Well, Sara Marjanovic, PhD student at University of Copenhagen, did it and she shares her research with us in this episode of targz!

If you want to dig further in the topic, you can read mor... more

Fairness and relevance may be diverging goals in recommender systems. Can we find a way to achieve both? We talk about it with Dr. Theresia Veronika Rampisela in this episode of targz!

Do you want to dig more? Checkout the paper: "Joint Evaluation o... more

In this episode of targz, Franco Maria Nardini, Research Director at ISTI-CNR, explains Seismic, a two-level inverted index for fast retrieval over learned sparse representations. It beats graph-based state-of-the-art methods by up to 3.5x in speed w... more

Everyone would like a fair recruitment process, but unfortunately the reality is way more complex than just fixing some sorting algorithm. In this episode of targz Dr. Carlos Castillo, aka ChaTo, from ICREA describes the research conducted by his gro... more

In this episode of targz Marco Minici, Researcher at ICAR-CNR, describes how to identify group of users coordinating on different social platform that try to influence other people opinions.

Link to the paper (Exposing Cross-Platform Coordinated Ina... more

When it comes to recommendation, indirect feedback by user is a powerful tool, but it can be problematic to deal with noise. In this episode of targz Ervin Dervishaj from University of Copenhagen presents a method to leverage LLMs for post-training d... more

With Giovanni Mauro from Scuola Normale Superiore and Istituto di scienza e tecnologie dell'informazione "A. Faedo" (Cnr-Isti) we discuss how AI influences users and how users influence AI back and the urba`n impact of this feedback loop. Don't miss ... more

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targz launched 5 months ago and published 10 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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