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      <title>On the Inherent Resilience of Task-Oriented V2X Networks to Content-Selection Errors</title>
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      <description>• Task-oriented V2X networks prioritize message content based on relevance to receivers. • Estimating relevance in dynamic vehicular environments is challenging, leading to errors.</description>
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      <title>WANSpec: Leveraging Global Compute Capacity for LLM Inference</title>
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      <description>• WANSpec leverages under‑utilized global data centers for LLM inference to reduce latency and cost. • Uses speculative decoding by moving draft model to low‑demand GPUs, cutting f</description>
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      <title>Korean Startup Takes On Cost and Latency With LLM-Specific Chip</title>
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      <description>• Korean startup HyperAccel designs LLM-specific chip to slash cost and latency. • Chip targets edge AI, enabling real-time inference on low-power devices. • HyperAccel partners wi</description>
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      <title>CES 2026: Semtech Showcases Next-Generation IoT Innovation with LoRa® and Edge AI Solutions</title>
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      <description>• Semtech unveiled its next-gen LoRa® Gen 4 platform at CES 2026, boosting throughput to 2.6 Mbps. • Multi‑protocol connectivity via LoRa Plus™ supports LoRaWAN®, Amazon Sidewalk,</description>
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