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

  1. RESEARCH · 36氪 (36Kr) 中文(ZH) ·

    CATL: Large-scale energy storage project in cooperation with Solarpro Holding successfully connected to the grid and put into operation in Bulgaria

    A 601 MWh large-scale energy storage project, a collaboration between Solarpro Holding and CATL, has been successfully connected to the grid in Bulgaria. This project significantly increases Bulgaria's national energy storage capacity by approximately 15%, enhancing the utilization of wind and solar power and ensuring grid stability. Both companies plan to further expand their energy storage projects over the next two years. AI

    IMPACT Enhances grid stability and renewable energy integration, supporting the infrastructure for AI's energy demands.

  2. RESEARCH · Mastodon — fosstodon.org Polski(PL) ·

    Bulgaria implements Google's Cybershield system, becoming an EU pioneer in automating national defense against hacker attacks and correlating billions of events

    Bulgaria has become the first EU nation to implement Google's CyberShield system, enhancing its national defense against cyberattacks. This advanced system is designed to automate the detection and correlation of billions of daily network events in real-time. The deployment positions Bulgaria as a leader in leveraging AI for national cybersecurity within the European Union. AI

    IMPACT Establishes a precedent for AI-driven national cybersecurity automation within the EU.

  3. TOOL · arXiv cs.LG English(EN) ·

    Community-Aware Vertex Ordering for Reference-Based Graph Compression: A Cross-Encoder Empirical Study

    Researchers have developed a new vertex ordering method called Leiden+LLP for graph compression, which improves efficiency by analyzing community structures within the graph. This approach demonstrated significant savings, reducing bits per edge by 0.3 to 5.4 across various datasets and compression encoders. The study also introduced three new reference-based encoders (BG, CS, and CG) that offer further compression gains over existing methods, with the potential for low-overhead random access. AI

    IMPACT Improves efficiency for graph compression techniques, potentially impacting data handling in AI systems.