In the present-day Europe, with its well-established national air quality and meteorological networks, there are solid ties between the air quality and meteorological agencies and seemingly well-connected data distribution networks. However, there is an increasing need for the orchestration of environmental services spread across the Web in order to provide users with personalised decision support or tailored environmental information. PESCaDO aimed to meet this need for environmental service orchestration. It offered an interconnected multipurpose environmental user-oriented service for a federated community of citizens, public services (such as tourist offices and environmental institutions), public administrations, and entrepreneurs active in sectors sensitive to environmental conditions.
Late update, but we had two great talks last month!
#MachineTranslation #FBK #NLProc #GenderBias #SpeechSynthesis
Our pick of the week by @dhairya_su47605
: "Scaling Laws for Precision" by @tanishqkumar07, Zachary Ankner, @bfspectorShiekh, @blake__bordelon, @Muennighoff, @mansiege, @CPehlevan, Christopher R´e, @AdtRaghunathan
📰
#Quantization #LLM #ScalingLaw
Pick of the week @fbk_mt
Super interesting paper on the limitations of quantization, demonstrating how post-training quantization scales poorly in data.
https://arxiv.org/abs/2411.04330
⭐ For our #PickOfTheWeek, this paper explores an important question for modern speech AI:
🎙️ Which Evaluation for Which Speech Model?
👥 Authors: @Maureendss , @EeshanDhekane
Speech foundation models are evolving rapidly, but evaluation practices are still fragmented.
🏝️ Yesterday at #LREC2026, Palma de Mallorca!
@lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
📄Paper:
💻Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc