AI@TN

Jan 1, 2022 | Projects

1 January 2022 to 31 December 2023 - PROJECT CLOSED

An investment by the Autonomous Province of Trento in young talents involved in projects in synergy between FBK and the University of Trento on common research and highly innovative technological development initiatives that will pave the way for market and societal impact. The research activities will take place in the 4 macro-areas of Integrative AI, AI at the edge, Certified AI, and Interactive AI.

MT Group at FBK Follow

#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

Avatar MT Group at FBK @fbk_mt ·

19 Jun

Our pick of the week by @DennisFucci: "Speech Representation Analysis Based on Inter- and Intra-Model Similarities" by Yassine El Kheir, Ahmed Ali, and Shammur Absar Chowdhury (ICASSP Workshops 2024)

#speech #speechtech

Dennis Fucci @DennisFucci

Findings from https://ieeexplore.ieee.org/document/10669908 show that speech SSL models converge on similar embedding spaces, but via different routes. While overall representations align, individual neurons learn distinct localized concepts.
Interesting read! @fbk_mt

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Avatar Fondazione Bruno Kessler - FBK @fbk_research ·

10 Jun

Cosa chiedono davvero gli italiani all’intelligenza artificiale?
FBK in collaborazione con RiTA lancia un’indagine aperta a tutte/i per capire usi reali, abitudini e bisogni.

Bastano 10 minuti per partecipare, scopri di più: https://magazine.fbk.eu/it/news/italiani-e-ia-cosa-chiediamo-veramente-allintelligenza-artificiale/

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Avatar Marco Gaido @mgaido91 ·

11 Jun

🚀 Last call for the Model Compression for Machine Translation task at #WMT2025 (co-located with #EMNLP2025)!
Test data out on June 19 ➡️ 2 weeks for evaluation!
Can you shrink an LLM and keep translation quality high?
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression

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11 Jun

Our pick of the week by @beomseok_lee_: "ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs" by Pooneh Mousavi, @yingzhi_wang, @mirco_ravanelli, and @CemSubakan (2025)

#SLU #speech #multimodal #LLM

Beomseok LEE @beomseok_lee_

Speech-language models show promise in multimodal tasks—but how well are speech & text actually aligned? 🤔

This paper https://arxiv.org/abs/2505.19937 proposes a new metric to measure layer-wise correlation between the two, with a focus on SLU tasks. 🔍🗣️📄

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