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!
Let's explore the world of Physical AI with Dr. Carlo Alessi (https://www.linkedin.com/in/carlo-alessi/), Postdoctoral Researcher at Italian Institute of Technology (https://www.linkedin.com/company/istitutoitalianoditecnologia/) (IIT). In this episode of targz we will focus on Robot Learning for manipulation, and how we can leverage AI to tackle this quite complex and interesting challenge.
25 May 2026
EP10 - Quantum Computing and Memory. With Dr. Alessandro Berti
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 (https://www.linkedin.com/in/aleberti/), Postdoc at University of Pisa (https://www.linkedin.com/school/unipisa/), where we talk about Quantum Algorithms and specifically the importance of (quantum) memory!
If you want to dig further in the topic, you can read more in the paper "Efficient Quantum State Preparation with Bucket Brigade QRAM (https://arxiv.org/pdf/2510.16149)".
11 May 2026
EP09 - The Thinking Process of LLMs. With Sara Marjanovic
Have you ever thought about the thinking process of LLMs? Well, Sara Marjanovic (https://www.linkedin.com/in/sara-vera-marjanovic), PhD student at University of Copenhagen (https://www.linkedin.com/school/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 more in the paper "DeepSeek-R1 Thoughtology: Let’s think about LLM reasoning (https://openreview.net/pdf?id=BZwKsiRnJI)".
27 Apr 2026
EP08 - Fairness and Relevance in Recommender Systems. With Dr. Theresia Veronika Rampisela
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 (https://www.linkedin.com/in/theresia-rampisela/) in this episode of targz!
Do you want to dig more? Checkout the paper: "Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier (https://arxiv.org/abs/2502.11921)"
13 Apr 2026
EP07 - Efficient Neural Search: Rethinking Inverted Indexes for Learned Sparse Representations. With Dr. Franco Maria Nardini
In this episode of targz, Franco Maria Nardini (https://www.linkedin.com/in/fmnardini/), Research Director at ISTI-CNR (https://www.linkedin.com/company/cnr-isti/), 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 with comparable memory, and opens new directions in inference-free and edge retrieval.
Want to know more? checkout the paper: Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations (https://arxiv.org/abs/2404.18812)
23 Mar 2026
EP06 - Does Fair Ranking Lead to Fair Recruitment? With Dr. Carlos Castillo
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 group to address the issue.
Want to know more? checkout the paper: https://www.sciencedirect.com/science/article/pii/S0306457325004479 (https://www.sciencedirect.com/science/article/pii/S0306457325004479)
Here you can also find more information about the project: http://findhr.eu/ (http://findhr.eu/)
9 Mar 2026
EP05 - Exposing Cross-Platform Coordinated Inauthentic Activity in theRun-Up to the 2024 U.S. Election. With Dr. Marco Minici
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 Inauthentic Activity in the Run-Up to the 2024 U.S. Election): https://arxiv.org/pdf/2410.22716v3 (https://arxiv.org/pdf/2410.22716v3)
If you want to keep up with every new episode of targz, follow me on:
LikedIn: https://www.linkedin.com/in/elleflorio/ (https://www.linkedin.com/in/elleflorio/)
Bluesky: https://bsky.app/profile/florio.dev (https://bsky.app/profile/florio.dev)
23 Feb 2026
EP04 - Post-Training Denoising of User Profiles withLLMs in Collaborative Filtering Recommendation. With Ervin Dervishaj
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 denoising. How does it work? What are the benefits? Let's find out together!
Link to the paper (Post-Training Denoising of User Profiles withLLMs in Collaborative Filtering Recommendation): https://arxiv.org/pdf/2601.18009
If you want to keep up with every new episode of targz, follow me on:
- LikedIn: https://www.linkedin.com/in/elleflorio/
- Bluesky: https://bsky.app/profile/florio.dev
9 Feb 2026
EP03 - The Urban Impact of AI: Modeling Feedback Loops in Location-Based Recommender Systems
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 this third episode of targz!
Link to the paper: https://link.springer.com/article/10.1007/s10994-025-06904-z
If you want to keep up with every new episode of targz, follow me on:
- LikedIn: https://www.linkedin.com/in/elleflorio/
- Bluesky: https://bsky.app/profile/florio.dev
26 Jan 2026
EP02 - Intrinsic Dimension of Data Representations in Deep Neural Networks. With Dr. Alessio Ansuini
In this second episode of targz we talk about intrinsic dimension in neural networks and why they it is important to understand what's happening inside them. Also, do you know what a manifold is?
Link to the paper: https://arxiv.org/abs/1905.12784
If you want to keep up with every new episode of targz, follow me on:
- LikedIn: https://www.linkedin.com/in/elleflorio/
- Bluesky: https://bsky.app/profile/florio.dev
12 Jan 2026
EP01 - The Power of Noise: Redefining Retrieval for RAG Systems. With Dr. Fabrizio Silvestri
Is it possible that adding random documents to an LLM prompt can actually improve the response? Well, let's find it out in this first episode of targz!
Link to the paper: https://arxiv.org/pdf/2401.14887
If you want to keep up with every new episode of targz, follow me on:
- LikedIn: https://www.linkedin.com/in/elleflorio/
- Bluesky: https://bsky.app/profile/florio.dev
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