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ENTITY Technical University of Darmstadt

Technical University of Darmstadt

PulseAugur coverage of Technical University of Darmstadt — every cluster mentioning Technical University of Darmstadt across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_151790 ·

    RSS 2026 best paper awards highlight advances in robot control and perception

    The Robotics: Science and Systems (RSS) conference has announced its best paper awards, recognizing advancements in robot control and perception. The Best Paper award went to FlashSAC for its efficient and stable reinfo…

  2. TOOL · CL_145103 ·

    German consortium releases open hybrid Mamba-Transformer model Soofi S 30B-A3B

    A German research consortium has released Soofi S 30B-A3B, an open-source, hybrid Mamba-Transformer Mixture-of-Experts foundation model. Trained on Deutsche Telekom's AI cloud using NVIDIA B200 GPUs, the model prioritiz…

  3. TOOL · CL_150504 ·

    German SOOFI consortium releases Soofi-S-Base LLM for industrial use

    The Soofi-Project/Soofi-S-Base model, a German-English bilingual large language model, has been made available for use with various libraries and inference providers. Developed by the SOOFI consortium, this model is int…

  4. TOOL · CL_19070 ·

    UKP Lab seeks PhDs for NLP/ML research, deadline May 2026

    The UKP Lab at Technische Universität Darmstadt is seeking PhD candidates with expertise in NLP, ML, or AI. Successful applicants will have a strong publication record and the ability to lead independent research. The l…

  5. RESEARCH · CL_10813 ·

    CVPR 2026: Visual AI shifts from accuracy to understanding imperfect real-world data

    Computer vision research is shifting from optimizing performance on benchmarks to enabling models to understand the world under imperfect conditions. Recent work presented around CVPR 2026 challenges fundamental assumpt…

  6. RESEARCH · CL_10040 ·

    Visual AI research shifts from performance gains to rewriting core assumptions

    Recent advancements in visual AI, highlighted at CVPR 2026, signal a shift from incremental performance improvements to fundamental re-evaluation of existing modeling assumptions. Researchers are questioning core princi…