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ENTITY AI-RAN

AI-RAN

PulseAugur coverage of AI-RAN — every cluster mentioning AI-RAN across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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TIER MIX · 90D
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  1. 2026-07-15 product_launch Nokia and Nvidia have jointly developed and announced the first commercial AI-driven wireless access network (AI-RAN) platform. source
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. RESEARCH · CL_144372 ·

    Nokia and Nvidia unveil AI-driven wireless network platform

    Nokia and Nvidia have jointly developed the first commercial AI-driven wireless access network (AI-RAN) platform. This new platform is expected to enable telecom network operators to double the data transmission capacit…

  2. SIGNIFICANT · CL_144228 ·

    Nokia launches AI-RAN platform with NVIDIA to boost spectral efficiency · 2 sources tracked

    Nokia has launched its AI-RAN platform, a new radio architecture developed in partnership with NVIDIA. This platform aims to significantly increase spectral efficiency, potentially doubling capacity from existing spectr…

  3. TOOL · CL_129268 ·

    AI-RAN workloads successfully run on NPUs, bypassing traditional baseband chips

    Researchers have demonstrated that Neural Processing Units (NPUs), typically used for AI inference, can effectively handle wireless baseband processing tasks. By reconstructing communication algorithms to align with NPU…

  4. TOOL · CL_77342 ·

    AI-RAN conflict monitoring uses explainable dependency tracking

    Researchers have developed a new method for monitoring dependencies in AI-integrated Radio Access Networks (AI-RAN). This system tracks interpretable dependency representations from telemetry events to detect conflicts.…

  5. RESEARCH · CL_62244 ·

    New AI framework GUIDE improves cross-band channel prediction for wireless networks

    Researchers have developed GUIDE, a novel physics-guided deep unfolding framework for AI-native Radio Access Networks (AI-RAN). This framework embeds wireless channel physics into differentiable layers, enabling practic…