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@Telefonica-Scientific-Research

Telefonica Scientific Research

Telefónica Scientific Research

Telefonica Scientific Research Logo

Telefónica Scientific Research (TSR) is an industrial, multidisciplinary research group founded in 2007. We pursue rigorous, reproducible research that informs real-world telecommunications products and services. Our interests span artificial intelligence (including generative AI, large language models and agentic systems), network optimisation, distributed systems and protocols, privacy-preserving and ethical AI, and early exploration of emerging technologies. We publish openly where possible, contribute to standards, and maintain internal prototypes and production integrations used by Telefónica’s Operating Businesses.

Vision

"Advance fundamental and applied AI research across disciplines, exploring its societal implications and pushing technological boundaries, with a focus on strategic areas to accelerate innovation in Telefónica's key products and services."

Pillars of our vision

Scientific excellence

  • Promote the exchange and integration of knowledge across teams and disciplines.
  • Act as a conduit for technological innovation and responsible IP generation.
  • Foster a high-performance environment that values rigor, reproducibility and continuous improvement.
  • Partner with academia to steer research toward impactful, open scientific directions.

Strategic focus

  • Advance fundamental and applied AI research (foundations, applications and societal implications) with an interdisciplinary approach.
  • Develop core AI methodologies and technologies that support Telefónica’s strategic priorities.
  • Advance the theory and practice of safe, ethical, and privacy-preserving AI; embed these principles in our work and disseminate them to international research and practitioner communities.

Mission

  • Conduct foundational and applied research addressing both near-term industry needs and long-horizon opportunities.
  • Produce open, well-documented code, reproducible artifacts and clear experimental records to accelerate adoption and independent evaluation.
  • Translate scientific outcomes into deployable solutions, standards contributions and intellectual property when appropriate.
  • Promote safe, ethical, and privacy-preserving AI across Telefónica and the wider community.
  • Build sustained collaborations with academia, industry partners and product teams to maximize research impact.

What you’ll find in this repository

  • Open‑source implementations, research code and reproducible notebooks.
  • Prototypes, proof of concepts and integration examples.

A note on impact

Since 2007 our group has grown from a handful of researchers to a compact team that balances curiosity and utility: producing publications, patents and funded projects while ensuring research outcomes can be validated, reused and, when ready, deployed.

Pinned Loading

  1. gaze_reward gaze_reward Public

    Python 12 3

  2. oasstetc oasstetc Public

    Python 5

Repositories

Showing 10 of 14 repositories
  • evs-llm-alignment Public

    Population-grounded evaluation framework for multilingual LLM alignment using the European Values Survey (EVS).

    Telefonica-Scientific-Research/evs-llm-alignment's past year of commit activity
    Python 0 GPL-3.0 0 0 5 Updated Nov 9, 2026
  • european-ifeval Public

    A multilingual benchmark for evaluating instruction following across 50 European languages

    Telefonica-Scientific-Research/european-ifeval's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Nov 4, 2026
  • wake-up-word-detection Public

    Training, evaluation, and deployment code for wake-up word detection.

    Telefonica-Scientific-Research/wake-up-word-detection's past year of commit activity
    Python 1 AGPL-3.0 0 0 0 Updated Nov 3, 2026
  • EuroAlpaca Public

    A task-preserving localization pipeline for instruction-following data across 50 European languages

    Telefonica-Scientific-Research/EuroAlpaca's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Nov 3, 2026
  • perceiv Public
    Telefonica-Scientific-Research/perceiv's past year of commit activity
    0 0 0 0 Updated Oct 19, 2026
  • DLaaS-Server Public
    Telefonica-Scientific-Research/DLaaS-Server's past year of commit activity
    CSS 0 AGPL-3.0 0 0 0 Updated Oct 2, 2026
  • ASR-merging Public

    Experiments on ASR models and LoRA merging strategies for low-resource languages adaptation and avoiding catastrophic forgetting

    Telefonica-Scientific-Research/ASR-merging's past year of commit activity
    Jupyter Notebook 0 Unlicense 0 0 5 Updated Aug 11, 2026
  • flower_speech_llm Public

    Federated learning for Speech LLMs (WavLM+TinyLlama & Voxtral) with Flower and PyTorch Lightning. LoRA fine-tuning across MLS clients with FedAvg/FedProx, IID and speaker-based partitioning, per-round LR decay, W&B logging, and multi-GPU Ray simulation. Only adapter weights are shared — raw audio never leaves the client

    Telefonica-Scientific-Research/flower_speech_llm's past year of commit activity
    Shell 0 Apache-2.0 1 0 5 Updated Aug 10, 2026
  • GenAI_Channel_Modeling Public

    Code corresponding to the paper "Site-Specific MIMO Channel Generation via Diffusion and Flow Matching: Fidelity, Efficiency, and Downstream Utility"

    Telefonica-Scientific-Research/GenAI_Channel_Modeling's past year of commit activity
    Python 7 MIT 1 0 1 Updated Jun 19, 2026
  • FedEloquence Public
    Telefonica-Scientific-Research/FedEloquence's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Mar 25, 2026

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