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 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

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
Here you can also find more information about the project: http://findhr.eu/

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

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