On the Inherent Resilience of Task-Oriented V2X Networks to Content-Selection Errors

On the Inherent Resilience of Task-Oriented V2X Networks to Content-Selection Errors

• Task-oriented V2X networks prioritize message content based on relevance to receivers. • Estimating relevance in dynamic vehicular environments is challenging, leading to errors.

WANSpec: Leveraging Global Compute Capacity for LLM Inference

WANSpec: Leveraging Global Compute Capacity for LLM Inference

• 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

Korean Startup Takes On Cost and Latency With LLM-Specific Chip

• 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

CES 2026: Semtech Showcases Next-Generation IoT Innovation with LoRa® and Edge AI Solutions

CES 2026: Semtech Showcases Next-Generation IoT Innovation with LoRa® and Edge AI Solutions

• 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,