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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G

    Researchers have developed a new model called LiQSS (Linear Quantum-Inspired State-Space) that aims to improve real-time forecasting for 6G networks. This post-Transformer design uses quantum-inspired tensor networks to achieve linear-time sequence modeling, significantly reducing parameter count and increasing inference speed compared to Transformer-based models. The LiQSS model was evaluated on a dataset for predicting Reference Signal Received Power (RSRP) and demonstrated substantial efficiency gains without compromising accuracy. AI

    IMPACT This model could enable more efficient and responsive AI-driven control in future wireless networks.